The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling 13 130 10 16 180 11 19 17 16 13 140 16 160 17 O 180 110 130 200 190 170 Develop a simple linear regression equation for these data. b. Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination. C. Calculate the standard error of the estimate

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling
13
130
10
16
11
19
200
17
16
13
16
17 O
180
y
110
180
130
190
170
140
160
Develop a simple linear regression equation for these data.
Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination.
Calculate the standard error of the estimate
Calculate the standard error for the regression slope.
Conduct the hypothesis test to determine whether the regression slope coefficient is equal to 0. Test using a = 0.01.
Click the icon to view the t-distribution table.
a
d.
Transcribed Image Text:The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling 13 130 10 16 11 19 200 17 16 13 16 17 O 180 y 110 180 130 190 170 140 160 Develop a simple linear regression equation for these data. Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination. Calculate the standard error of the estimate Calculate the standard error for the regression slope. Conduct the hypothesis test to determine whether the regression slope coefficient is equal to 0. Test using a = 0.01. Click the icon to view the t-distribution table. a d.
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