Use the given data to find the best predicted value of the response variable. Eight pairs of data yield r = 0.742 and the regression equation y = 55.8 + 2.79x. Also, y = 71. 125. What is the best predicted value

Q: Find the regression line of the points: (12.7, 18.7),   (9.1, 17.2),   (15.3, 14.5),   (19.5, 12.9)

A:

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

A: The regression equation is y = -1.017x + 23.99, where x is the hours of TV watched per day and y is…

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

A: Given y=ax+b  where a=-0.962 b=32.772 y=-0.962x+32.772 regression equation is y=-0.962x+32.772…

Q: The given paired data lists the heights (in inches) of various males who were measured on their…

A: Given that ;   X Y X \cdot YX⋅Y X^2X2 Y^2Y2   52 69 3588 2704 4761   50 66 3300 2500 4356…

Q: A regression was run to determine if there is a relationship between hours of study per week (2) and…

A: Using the given information,   The regression line is,     The objective is to predict the final…

Q: c. Interpret the estimated regression equation.

A: Height (X) Weight (Y) (x-xbar) (x-xbar)^2 (y-ybar) (y-ybar)^2 (x-xbar)*(y-ybar) 68 132 1.4 1.96…

Q: Estimate a regression equation​ (electricity sales) using only number of customers as a predictor…

A: First enter the data in Excel.

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A: The regression equation was calculated and is as follows:       y = 124.4 + 1.6x 1.Estimate the…

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A: Answer: Scatter plot Option 3 is correct

Q: Find the regression equation, letting the first variable be the predictor (x) variable. Find the…

A: Given : Internet users per 100(x) Nobel Laureates(y) 79.5 5.6 79.7 24.4 78.3 8.7 45 0.1…

Q: For the relationship between Calories and Carbs, here is the equation of the line of best fit:…

A:

Q: You generate a scatter plot using Excel. You then have Excel plot the trend line and report the…

A: From the provided information, y = -65.83x + 10.83 r2 = 0.0225

Q: The data show the chest size and weight of several bears. Find the regression equation, letting…

A: In this case, the dependent variable (y) is the weight because it is the variable that is being…

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A: given data SSx = 8SSy = 15SP = 40

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A: Lemon Import, X Crash Fatality rate,  Y 233 16 270 15.9 358 15.6 492 15.3 536 15

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A:

Q: A set of n = 5 pairs of X and Y scores has SSX = 6, SSY = 18, and SP = 42. What is the slope for the…

A: We have given that, X and Y scores has, SSX = 6, SSY = 18, SP = 42 and n = 5 Then,  We will find the…

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

A:

Q: The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent…

A: Correlation is a statistical technique that is used to determine the association between the…

Q: A regression was run to determine if there is a relationship between hours of TV watche per day, r,…

A: Let y : number of sit-ups a person can do in a minute       x: Hours of TV watched per dayThe…

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A: If the data lies on a straight line, or seems to lie approximately along a straight line, a linear…

Q: The data show the chest size and weight of several bears. Find the regression​ equation, letting…

A: Given that Find the regression​ equation, letting chest size be the independent​ (x) variable. Then…

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

A: Given  Y=ax+b  a=-1.246, b=29.886

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

A: We have to find predicted value.

Q: regression

A: Here it is asked to find the degrees of freedom in a regression model with an intercept term that…

Q: Find the regression equation for the following paired data. (1, 2), (3, 7), (5, 9), (9, 15), (4, 7)

A: The equation is obtained by creating a table as follows: x y xy x2 y2 1 2 2 1 4 3 7 21 9 49…

Q: Use Data Set 7 found on my website for this question. Consider two models: Big and Small. Both…

A: Given Information: Consider the given dataset: Exam Tot Female Year Time H tot H4 H3 84 1 2 32…

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Q: The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent…

A: The question is about regression.Given :Regression equation :To find :se and it's interpretation.

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

A: We know the regression equation- y = a x + b Here y = Number of sit-ups x = TV watched per day b =…

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Q: In a fisheries researcher's experiment, the correlation between the number of eggs in the nest and…

A: The regression equation is y=0.72x+17.07.

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A: Given that  The Football is dropped from 35 different heights and height of the bounce is recorded.…

Q: a. Explain what the trend shows. Choose the correct answer below.     A. Approximately 47​% of the…

A: a. The regression equation is, Predicted Pct. Smokers=56.373-0.466Pct. Smoke-free. The slope is…

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Q: Find the coefficient of determination and interpret the result.

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Q: Refer to the data set: (1, 2.5), (2.5, 15), (0.5, 2), (-2, 0.5), (0, 1), (1.5, 5) Part a: Make a…

A: Scatter plot     The linear regression model is best fit

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A: Given : Regression equation : y=ax+b 'where  a=-0.609 b=34.589

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A:

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.