Below you are given a partial computer output based on a sample of fifteen (15) observations....
Below you are given a partial computer output based on a sample
of fifteen (15) observations.
|
ANOVA |
|||||
|
df |
SS |
||||
|
Regression |
1 |
50.58 |
|||
|
Residual |
|||||
|
Total |
14 |
106.00 |
|||
|
Coefficients |
Standard Error |
t Stat |
p-value |
||
|
Intercept |
16.156 |
1.42 |
|
0.0000 |
|
|
Variable x |
-0.903 |
0.26 |
|
0.0000 |
The coefficient of
determination is.
|
0.5228 |
||
|
0.4772 |
||
|
0.6535 |
||
|
0.3465 |
Homework Answers
Hello Sir/ Mam
YOUR REQUIRED ANSWER IS OPTION B : 0.4772
We know that:
I hope this solves your doubt.
Feel free to comment if you still have any query or need something else. I'll help asap.
Do give a thumbs up if you find this helpful.
Add Answer to:
Below you are given a partial computer output based on a sample
of fifteen (15) observations....
Below you are given a partial computer output based on a sample of fifteen (15) observations....
Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 50.58 Residual Total 14 106.00 Coefficients Standard Error tstat p-value 0.0000 Intercept 16.156 1.42 0.26 -0.903 0.0000 Variable x The estimated regression equation (also known as regression line fit) is O Y = B0+ B1X1 + E, O EY) = B0+ B 1X1 + B 2X2 Ý = -0.903 + 16.156X1 Ý = 1.42 + 0.26X1 none of the above
Below you are given a partial computer output based on a sample of 8 observations, relating...
Below you are given a partial computer output based on a sample of 8 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 7.032 0.184 t-Stat -1.3456 4.1793 Intercept Analysis of Variance SOURCE Regression Error (Residual) 400 138 a. Develop the estimated regression line. b. At a = 0.05, perform an F test. C. Determine the coefficient of determination.
Below you are given a partial computer output based on a sample of seven (Z) observations...
Below you are given a partial computer output based on a sample of seven (Z) observations ANOVA df 100 Regression Residual Total 6 288.56 Coefficients 5.000 3.729 p-value 0.0942 0.1643 Standard Error t Stat Intercept 2.425 Variable x 2.290 To test whether the parameter β 1 is significantly different from zero (ie.. Ha: β1 f 0), the calculated test statistic equals O 2.0619 O1.628 O -3.473 11.377 none of the above
Below you are given a partial computer output based on a sample of 21 observations, relating...
Below you are given a partial computer output based on a sample of 21 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 1.181 Intercept 30.139 0.022 X -0.252 Analysis of Variance SOURCE SS Regression 1,759.481 259.186 Error Develop the estimated regression line At a 0.05, perform an F test. Determine the coefficient of determination. a. b. c. d. Determine the coefficient of correlation.
We are given a partial computer output based on a sample of 20 observations: Coefficient Standard...
We are given a partial computer output based on a sample of 20 observations: Coefficient Standard Error Constant 12.9 4.4 X1 -3.7 2.6 X2 45.2 12.6 ANOVA Source df SS MS F Regression 150 75 ? Error 516 The test statistic used to determine if there is a relationship among the variables equals _____. 4.94 1.32 0.82 0.49 2.47
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 485.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 2.630 x2 45.216 12.560 Carry out the test to determine if there is a relationship among the variables at the 5% level. The null hypothesis should ______. a. be revised b. not be rejected c. be rejected d. None of these answers are correct.
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 585.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 1.630 x2 45.216 22.560 A) The interpretation of the coefficient of x 1 is that _____. B) We want to test whether the parameter β 1 is significant. The test statistic equals _____. C) The critical t value that is used to test an individual parameter...
In the following table is a partial computer output based on a sample of 21 observations,...
In the following table is a partial computer output based on a sample of 21 observations, relating an independent variable (X) and a dependent variable: Predictor Coefficient Standard Error Constant 30.139 1.181 X ‐0.2520 0.022 SOURCE SS Regression 1,759.481 Error 259.186 a. Develop the estimated regression line. b. At α = 0.05, test for the significance of the slope. c. At α = 0.05, perform an F‐test. d. Determine the coefficient of determination. e. Determine the coefficient...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16...
Exhibit 15-6 Below you are given a partial Excel output based on a sample of 16 observations. ANOVA df SS MS F Regression 4,853 2,426.5 Residual 585.3 Coefficients Standard Error Intercept 12.924 4.425 x1 -3.682 1.630 x2 45.216 22.560 A) The degrees of freedom for the sum of squares explained by the regression (SSR) are _____. B) The sum of squares due to error (SSE) equals _____. C) The test statistic used to determine if there is a relationship among...
5- Interpret the coefficient of determination (R-squared) and the F test. SUMMARY OUTPUT Regression Statistics Multiple...
5- Interpret the coefficient of determination (R-squared) and the F test. SUMMARY OUTPUT Regression Statistics Multiple R 0.8811 R Square 0.7764 Adjusted R Square 0.7205 Standard Error 14.7724 Observations 16 ANOVA df SS MS F Regression 3 9091.7392 3030.5797 13.8874 Residual 12 2618.7008 218.2251 Total 15 11710.44 Coefficients Standard Error t Stat P-value Intercept 29.1385 174.7427 0.1668 0.8703 PFH -2.1236 0.3405 -6.2361 0.0000 PR 1.0345 0.4667 2.2164 0.0467 M 3.0871 0.9993 3.0892 0.0094
Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 50.58 Residual Total 14 106.00 Coefficients Standard Error tstat p-value 0.0000 Intercept 16.156 1.42 0.26 -0.903 0.0000 Variable x The estimated regression equation (also known as regression line fit) is O Y = B0+ B1X1 + E, O EY) = B0+ B 1X1 + B 2X2 Ý = -0.903 + 16.156X1 Ý = 1.42 + 0.26X1 none of the above
Below you are given a partial computer output based on a sample of 8 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 7.032 0.184 t-Stat -1.3456 4.1793 Intercept Analysis of Variance SOURCE Regression Error (Residual) 400 138 a. Develop the estimated regression line. b. At a = 0.05, perform an F test. C. Determine the coefficient of determination.
Below you are given a partial computer output based on a sample of seven (Z) observations ANOVA df 100 Regression Residual Total 6 288.56 Coefficients 5.000 3.729 p-value 0.0942 0.1643 Standard Error t Stat Intercept 2.425 Variable x 2.290 To test whether the parameter β 1 is significantly different from zero (ie.. Ha: β1 f 0), the calculated test statistic equals O 2.0619 O1.628 O -3.473 11.377 none of the above
Below you are given a partial computer output based on a sample of 21 observations, relating an independent variable (x) and a dependent variable (y). Coefficient Standard Error 1.181 Intercept 30.139 0.022 X -0.252 Analysis of Variance SOURCE SS Regression 1,759.481 259.186 Error Develop the estimated regression line At a 0.05, perform an F test. Determine the coefficient of determination. a. b. c. d. Determine the coefficient of correlation.
Most questions answered within 3 hours.
-
It is important that face masks used by firefighters be able to
withstand high temperatures because...
asked 9 minutes ago -
explain with the experiment showing one gene one
enzyme hypothesis by tantum and beadle?
asked 8 minutes ago -
test the null hypothesis H0
H0 : In college, the average GPA of men is equal...
asked 37 minutes ago -
Question: Finish task 11) using sed with
back-reference.
11) Use sed to list only the company...
asked 33 minutes ago -
Do a little research on Amazon and share with everyone your view
of its business model...
asked 31 minutes ago -
Discuss the pros and cons to using social media for marketing in
the dealership organizational model...
asked 24 minutes ago -
What is the mole fraction of MgCl2 (95.12 g/mol) in an
aqueous solution that is 5.80...
asked 27 minutes ago -
Based on the brainstorming you have
been doing, share what you’ve come up with and then...
asked 31 minutes ago -
a) For a driver with Vs=10 v with an internal resistance of 50
ohms driving a...
asked 35 minutes ago -
. Suppose that 36 items from a production line are measured. You
don’t know the actual...
asked 38 minutes ago -
Dixie, a driver for Express Delivery Company, leaves the
truck's motor running in neutral and carelessly...
asked 36 minutes ago -
You are the captain of an old-timey warship with 10 cannons. It
takes 4 hits to...
asked 49 minutes ago