Assume you have noted the following prices for books and the number of pages that each book contains. Pages (x) 500 700 Price (v) S7.00 7.50 Вook A 750 590 540 C 9.00 6.50 E 7.50 F 650 7.00 G 480 4.50 You decide to run a regression model to examine the relationship between the number of pages and prices for books and attach the results below. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted RS Standard Em 0.750 0.563 0.475 0.981 Observations 7.000 ANOVA df 1.000 Significance F MS Regression Residual Total 6.192 6.192 6.439 0.052 5.000 4.808 0.962 6.000 11.000 Lower 95% Upper 95% Lower 95.0% Upper 95.0% 7.152 0.020 Coefficients Standard Emo. I Stat 0.438 P-value 0.680 -5.069 0.000 7.152 5.069 Intercept Pages (x) 1.042 2.377 0.010 0.004 2.538 0.052 0.020 0.000

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 23PFA
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Assume you have noted the following prices for books and the number of pages that each book contains.
Pages (x)
500
Price (y)
$7.00
Вook
A
700
7.50
9.00
C
750
D
590
6.50
E
540
7.50
F
650
7.00
G
480
4.50
You decide to run a regression model to examine the relationship between the number of pages and prices for books and
attach the results below.
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted RS
Standard Erre
Observations
0.750
0.563
0.475
0.981
7.000
ANOVA
Significance F
0.052
df
SS
MS
F
Regression
1.000
6.192
6.192
6.439
Residual
5.000
6.000
4.808
0.962
Total
11.000
Coefficients Standard Emo.
I Stat
P-value
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept
Pages (x)
1.042
2.377
0.438
0.680
-5.069
7.152
-5.069
7.152
0.010
0.004
2.538
0.052
0.000
0.020
0.000
0.020
Transcribed Image Text:Assume you have noted the following prices for books and the number of pages that each book contains. Pages (x) 500 Price (y) $7.00 Вook A 700 7.50 9.00 C 750 D 590 6.50 E 540 7.50 F 650 7.00 G 480 4.50 You decide to run a regression model to examine the relationship between the number of pages and prices for books and attach the results below. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted RS Standard Erre Observations 0.750 0.563 0.475 0.981 7.000 ANOVA Significance F 0.052 df SS MS F Regression 1.000 6.192 6.192 6.439 Residual 5.000 6.000 4.808 0.962 Total 11.000 Coefficients Standard Emo. I Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept Pages (x) 1.042 2.377 0.438 0.680 -5.069 7.152 -5.069 7.152 0.010 0.004 2.538 0.052 0.000 0.020 0.000 0.020
12. Use a = 0.10. Is the coefficient of the independent variable significantly different from zero?
No
a.
b.
Yes
с.
Cannot conclude
13. In multiple regression analysis, high correlation among the independent variables is termed
linearity
b.
a.
multicollinearity
homoscedasticity
endogeneity
с.
d.
Transcribed Image Text:12. Use a = 0.10. Is the coefficient of the independent variable significantly different from zero? No a. b. Yes с. Cannot conclude 13. In multiple regression analysis, high correlation among the independent variables is termed linearity b. a. multicollinearity homoscedasticity endogeneity с. d.
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