Chapter 14 Regression Statistics 0.97543454 Multiple R R Square Adjusted R Sc Standard Erro 438.384366 Observations 1 2 ANOVA Of Regression Residual 10 1921808.519 39602500 Coemicients Standard Error 19.0812465 1 362706623 Total Stat 13720.2593 1580.13751 8.682952714 intercept X Variable 1 13. Use the table above to answer the following questions Write the equation of the regression line based on the output above. a) U) = (3,7て07513 t (9,08 lex Assuming that the x variable represents the number of service calls made, what is the total cost expected if 1,1,40 service calls are made? b) c) What is the relationship between SSE, SSR and SST? What is the value of the SSR? d) Calculate the r2 from the data above. e) f What interval must r2 fall? 8) Calculate the F statistic. h) What is the value of tSTAT for the slope (b1)? i) What is the value of the y-intercept? Using an alpha of 0.05, what is the confidence interval estimate for the independent variable? LCL i) UCL

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Part D-F, Explain TI84 use if applicable

Chapter 14
Regression Statistics
0.97543454
Multiple R
R Square
Adjusted R Sc
Standard Erro 438.384366
Observations
1 2
ANOVA
Of
Regression
Residual
10 1921808.519
39602500
Coemicients Standard Error
19.0812465 1 362706623
Total
Stat
13720.2593 1580.13751 8.682952714
intercept
X Variable 1
13. Use the table above to answer the following questions
Write the equation of the regression line based on the output above.
a)
U) =
(3,7て07513 t (9,08 lex
Assuming that the x variable represents the number of service calls made, what is the total cost expected if
1,1,40 service calls are made?
b)
c)
What is the relationship between SSE, SSR and SST?
What is the value of the SSR?
d)
Calculate the r2 from the data above.
e)
f What interval must r2 fall?
8) Calculate the F statistic.
h) What is the value of tSTAT for the slope (b1)?
i)
What is the value of the y-intercept?
Using an alpha of 0.05, what is the confidence interval estimate for the independent variable?
LCL
i)
UCL
Transcribed Image Text:Chapter 14 Regression Statistics 0.97543454 Multiple R R Square Adjusted R Sc Standard Erro 438.384366 Observations 1 2 ANOVA Of Regression Residual 10 1921808.519 39602500 Coemicients Standard Error 19.0812465 1 362706623 Total Stat 13720.2593 1580.13751 8.682952714 intercept X Variable 1 13. Use the table above to answer the following questions Write the equation of the regression line based on the output above. a) U) = (3,7て07513 t (9,08 lex Assuming that the x variable represents the number of service calls made, what is the total cost expected if 1,1,40 service calls are made? b) c) What is the relationship between SSE, SSR and SST? What is the value of the SSR? d) Calculate the r2 from the data above. e) f What interval must r2 fall? 8) Calculate the F statistic. h) What is the value of tSTAT for the slope (b1)? i) What is the value of the y-intercept? Using an alpha of 0.05, what is the confidence interval estimate for the independent variable? LCL i) UCL
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