Answered: A regression was run to determine if…

A regression was run to determine if there is a relationship between the happiness inde expectancy in years of a given country (x). The results of the regression were: ŷ=a+bx a=-1.042 b=0.186

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: A regression of the LDL cholesterol level on the Body Mass Index (BMI) is shown below:LDL…

A: According to the provided information, regression line of the LDL cholesterol level on the Body Mass…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the given information, y=a+bxb=-0.79a=23.38 Therefore, Y=23.38-0.79X

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

A: It is an important part of statistics . It is widely used .

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given,Y=ax+ba=-0.975b=34.163r2=0.6241r=-0.79

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that y=ax+b a= -0.784 b=34.422 r2=0.793881 r=0.891

Q: Find the best regression equation for predicting the amount of nicotine in a cigarette. Use…

A: The data shows the Cigarette content in a certain brand of cigarette.

Q: A statistics student wanted to determine if the distance to a destination was related to the price…

Q: Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting…

A: Given data is x y 281.9 1785 278.3 1771 252.9 1675.9 258.7 1646.2 279.2 1858.8 258…

Q: regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that the regression line is, Y=ax+b Here the independent variable x is the number of hours of…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman.…

A: Given the data asRight ArmLeft Arm10017599169921828014979147

Q: To better understand the effect of work experience on wages. Data is gathered on workers' years of…

A: The significance of a regression coefficient in a regression model is determined by dividing the…

Q: If the coefficient of determination for a simple regression is 38.9534%, what is the correlation…

A: The question is about regression Given : Value of coefficient of determination ( R2 ) = 38.9534 % =…

Q: r = 0.935 Predict the number of calories a toddler consumes who remains at the table for 13 minutes…

A: The regression equation is given by Y = 188 × 1.9*x, Where Y = Number of calories, X = time…

Q: Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting…

A: xy282.21785.314.138.6875545.49375198.81277.81771.29.724.5875238.4987594.09253.01675.9-15.1-70.712510…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

A: From the given information we make the following table x(Right Arm) y( Left Arm) x2 y2 xy 103…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

A: In this case Right Arm (x) is the independent variable and Left Arm (y) is the dependent variable.…

Q: regression was run to determine if there is a relationship between hours of study per week (x) and…

Q: Height 1785.0 1770.9 1676.3 1646.0 1859.3 1710.1 1789.3 1737.2 regression equation is y=+x und the…

Q: While attempting to measure its risk exposure for the upcoming year, an insurance company notices a…

A: Regression equation is used to relate the response variable with one or more explanatory variable.…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

A: Let the right arm be denoted by x and the left arm be denoted by y. Then, x y x-x y-y (x-x)(y-y)…

Q: In a study of the performance of a new engine design, the weight of 12 cars (in pounds) and the top…

A: A.The general regression equation is given by:y = a + b x Using the output table,a = 107.58 b =…

Q: A regression was run using 11 subjects to determine if there is a relationship between hours of TV…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman.…

A: Find the regression equation, letting the right arm blood pressure be the predictor (x) variable.…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that the regression equation is, y=ax+b b=31.768 a=-1.128 Therefore, y=-1.128x+31.768

Q: Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation,…

A: Given n=8

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

A: The question is about regression Given : To find : 1 ) Reg. eq. 2 ) pred. value of blood press. in…

Q: Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find…

A: The data on the systolic blood pressure measurements (in mm Hg) of a women in left arm Y and right…

Q: A company has a set of data with employee age (X) and the corresponding number of annual…

Q: A regression was run to determine if there is a relationship between hours of study per week (x) and…

A: The regression equation given by the result is as follows: y=ax+by=6.365x+21.52wherey is the…

Q: A regression was run to determine if there is a relationship between hours of study per week (x) and…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

Q: What is the interpretation of the slope beta1=-0.5 for the simple logistic regression with a…

A: The simple logistic regression model is a predictive algorithm using independent variables…

Q: The data show systolic and diastolic blood pressure of certain people. Find the regression equation,…

A: The data shows the systolic and diastolic blood pressure of certain people.

Q: A regression was run to determine if there is a relationship between hours of TV watch humber of…

A: Given data, y=ax+b a=-0.759 b=37.685 r2 =0.674041 r=-0.821

Q: In simple linear regression if the standard error (s) 21 then the mean square due to error is: %3D

Q: Does how long young children remain at the lunch table help predict how much they eat? Twenty…

A: The Linear regression equation is computed as…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Linear regression is a linear approach to model the relationship between a dependent variable and…

Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

100%

A regression was run to determine if there is a relationship between the happiness inde
expectancy in years of a given country (x).
The results of the regression were:
ŷ=a+bx
a=-1.042
b=0.186

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Correlation, Regression, and Association$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions

For a particular red wine, the auction selling price for a 750-milliliter bottle and the age of the wine (in years) was recorded and used to regress the Auction Selling Price (the y-variable) on the Age (the x-variable). The Excel regression analysis showed that the estimated regression equation was: y with hat on top equals 9.02 plus 6.95 x Use this estimated regression equation to predict the Auction Selling Price of a 750-milliliter bottle of this red wine that is 15 years old. Give the EXACT value. The predicted Auction Selling Price of a 750-milliliter bottle of this red wine that is 15 years old is $
A regression was run to determine if there is a relationship between hours of study per week (xx) and the test scores (yy). The results of the regression were: y=ax+b a=5.709 b=34.57 r2=0.641601 r=0.801 Use this to predict the score of a student who studies 9.5 hours per week, and please round your answer to a whole number.
The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30? 97 100 10 none of the above
A regression was run to determine if there is a relationship between hours of study per week (z) and the test scores (y)- The results of the regression were: y=ax+b a=5.701 b=31.89 r2=0.660969 r=0.813 Use this to predict the final exam score of a student who studies 3.5 hours per week, and please round your answer to a whole number. Question Help: Message instructor Submit Question rse here to search R
Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 272.8 mm. How does the result compare to the actual height of 1776 mm? Foot Length 281.8 277.9 253.3 259.2 279.0 258.0 274.0 262.4 Height 1784.7 1771.2 1676.0 1645.9 1858.9 1710.1 1788.9 1737.0 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 272.8 mm is enter your response heremm. (Round to the nearest integer as needed.)
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+b a=6.59 b=21.22 r²=0.599076 r=0.774 Use this to predict the final exam score of a student who studies 7 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=6.22 b=21.6 r2=0.477481 r=0.691 Use this to predict the final exam score of a student who studies 8 hours per week, and please round your answer to a whole number.
Listed below are foot lengths (mm) and heights (mm) of males. Find the regression equation, letting foot length be the predictor (x) variable. Find the best predicted height of a male with a foot length of 273.3 mm. How does the result compare to the actual height of 1776 mm? Foot Length 281.9 278.3 253.2 258.7 278.7 257.8 274.2 262.2 Height 1784.8 1771.0 1675.6 1645.9 1858.7 1710.1 1789.2 1737.4 the regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to the nearest integer as needed. Round the slope to two decimal places as needed.) The best predicted height of a male with a foot length of 273.3 mm is enter your response here mm. (Round to the nearest integer as needed.)
In a regression study, relating Price/unit (x) to Weekly Sales (in Kg.), with the scatter plot showing a strong negative direction, 63% of the variability in sales could be accounted for by the variation in the Unit Price. The correlation coefficient in this study is: 0.79 -0.4 -0.79 0.4
In a regression analysis if SSE = 64 and SSR = 364, then what is the coefficient of determination? (please keep 2 decimal places)
For half-life demonstration, plot ln(half-lives) in the x-axis vs ln(no. of “tails-up” coins) in the y-axis. Perform linear regression to obtain the value of the slope, the value of the y-intercept, and the correlation coefficient r. What is the significance of these values?
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.226 b=34.56 r2=0.904401 r=0.951 Use this to predict the final exam score of a student who studies 1 hours per week, and please round your answer to a whole number?