You are conducting a test of independence for the claim that there is an association between row variable and the column variable. x Y z A 39 23 46 B 37 33 41 The expected observations for this table would be Y z A в What is the chi-square test-statistic for this data? (2 decimals) x² =

You are conducting a test of independence for the claim that there is an association between row variable and the column variable. x Y z A 39 23 46 B 37 33 41 The expected observations for this table would be Y z A в What is the chi-square test-statistic for this data? (2 decimals) x² =

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Data on 12 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables were measured in minutes and a regression analysis was performed. ski 85 2.5. treadmill = Coefficients Estimate (Intercept) Treadmill 85 - 2.5 Std. Error What is the test statistic? -2.5 0.45 1 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? Round your answers to three decimal places. Using your answer from the previous question, find the p-value. Part 2 o
Let x be the weight of a car (in hundreds of pounds), and let y be the miles per gallon (mpg). Suppose a car weighs 3800 pounds. What does the data forecast for the miles per gallon expected? x= 27 44 32 47 23 40 34 52 y= 30 19 24 13 29 17 21 14 State the correlation coefficient and state the regression lin equation.
Research was conducted on the amount of training for 5K and the time a contestant took to run the race. The researcher recorded the number of miles during training ( a 1 month period) and the time to complete the 5K. The results are below. Miles Trained 45 77 37 25 60 64 Time (Minutes) 32.9 28 36.2 27.5 19.5 18.3 a) Give the correlation coefficient. r = b) Give the equation of the regression line. Round the values to 4 deimal places.This is in the form y = ax + b, so the slope goes in the first box and the y-inercept in the 2nd box.y = x + c) Interpret the y-intercept (Explain it's meaning, do not just give its value.)d) Predict the time in the 5K if someone trained 37 miles.Use the rounded values entered for the slope and intercept of the regression line to compute the predicted y-value.y = e) Give the residual for 37 miles trained.This is the actual y value for the runner who trained for miles minus the predicted value.Residual=
Look at the Table, specifically the information related to "stroke severity." What is the dependent and the independent variables? Provide an interpretation of the coefficient (coeff), standard error (SE), and p-value for temperature & previous stroke.
The commercial division of a real estate firm is conducting a regression analysis of the relationship between x, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. Analysis of Variance SOURCE DF Adj SS Regression 1 41587.3 Error 7 Total 8 51984.1 Predictor Coef SE Coef T-Value Constant 20.000 3.2213 6.21 X 7.210 1.3626 5.29 Regression Equation Y = 20.0 + 7.21 X (a) How many apartment buildings were in the sample? (b) Write the estimated regression equation. ŷ = (c) What is the value of sb1? Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value =
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
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What is the purpose of testing whether B, = 0? O The purpose of testing whether 8, = 0 is to determine whether or not the mean of the x values is equal to the mean of the y values. O The purpose of testing whether 8, = 0 is to determine whether or not the regression line provides a good fit for the data. O The purpose of testing whether 8, = 0 is to determine whether or not there is a cause-and-effect relationship between x and y. O The purpose of testing whether 8, = 0 is to determine whether or not there is a significant relationship between x and y. If we reject 8, = 0, does it imply a good fit? O Rejecting 8, = 0 does not necessarily imply a good fit. For example, if 8, = 0 is rejected and r2 is high, there is a statistically significant relationship between x and y but the fit is not very good. O Rejecting 8, = 0 always implies a good fit. If 8, = 0 is rejected, there is a statistically significant relationship between x and y which always implies a good fit. O Rejecting 8, = 0…
1.A chi-square test for independence is being used to evaluate the relationship between two variables, one of which is classified into 2 categories and the second of which is classified into 4 categories. What is the df value for the chi-square statistic? a. df = 2 b. df = 6 c. df = 7 d. df = 3
The following condition is necessary in order to calculate inferential statistics for regression: the variances of Y scores for different values of X are equal (homogeneity of variance). a. true b. false c. impossible to say d. true, but only for descriptive statistics A regression model is derived for two variables X and Y. The variables are then standardized and a new regression model is derived for the standardized variables. What is the regression coefficient a? a.0 b.1 c.same as in the original model Please explain. Both question.