Question

Below you are given a partial Excel output based on a sample of 16 observations. ANOVA...

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

?

?

Refer to Exhibit 13-6. Carry out the test of significance for the parameter ?1 at the 1% level. The null hypothesis should be

Select one:

a.

None of these alternatives is correct.

b.

revised

c.

rejected

d.

not rejected

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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 1. Refer to Exhibit 15-6. The estimated regression equation is                 a.             y = β0 + β1x1 + β2x2 + ε                 b.             E(y) = β0 + β1x1 + β2x2                 c.             y hat = 12.924 - 3.682...
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 300 150 ? Error 516 The test statistic used to determine if there is a relationship among the variables equals
Below you are given a partial output based on a sample of 25 observations. Coefficient Standard...
Below you are given a partial output based on a sample of 25 observations. Coefficient Standard Error Intercept 145.321 48.682 x1 25.625 9.150 x2 -5.720 3.575 x3 0.823 0.183 Carry out the significance test of variable x1 at the 5% level. The null hypothesis should be rejected, and so variable x1 is significant not rejected, and so variable x1 is not significant not rejected, and so variable x1 is significant rejected, and so variable x1 is not significant
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 tstat p-value Intercept 16.156 1.42 0.0000 Variable x -0.903 0.26 0.0000    The estimated regression equation (also known as regression line fit) is? Y = b0 + b1X1 + ε, E(Y) = b0 + b1X1 + b2X2 Ŷ = -0.903 + 16.156X1 Ŷ = 1.42 + 0.26X1 none of...
] A partial computer output from a regression analysis using Excel’s Regression tool follows. Regression Statistics...
] A partial computer output from a regression analysis using Excel’s Regression tool follows. Regression Statistics Multiple R (1) R Square 0.923 Adjusted R Square (2) Standard Error 3.35 Observations ANOVA df SS MS F Significance F Regression (3) 1612 (7) (9) Residual 12 (5) (8) Total (4) (6) Coefficients Standard Error t Stat P-value Intercept 8.103 2.667 x1 7.602 2.105 (10) x2 3.111 0.613 (11)
Below you are given a partial computer output for a multiple regression analysis based on a...
Below you are given a partial computer output for a multiple regression analysis based on a sample of 10observations. Coefficient Standard Error t-value Constant 79.9655 2.2189 *** X1 4.3381 0.2048 *** X2 -0.5862 0.6039 *** Analysis of Variance    ANOVATable Degreesof Freedom Sum ofSquares MeanSquares F-Ratio Explained *** 2,407.4828 1,203.7414 *** Unexplained *** *** 5.2882 Refer to Exhibit 6. Carry out the F test of overall significance to determine if there is a relationship among the variables at the 10%...
Given the data and output in the attached file, Construct a 90% confidence interval estimate for...
Given the data and output in the attached file, Construct a 90% confidence interval estimate for the average Sales when Advertising is 25 want a confidence interval. It uses Regressionquizoutput2. Regressionquizoutput1 Regression Statistics Multiple R R Square Adjusted R Square Standard Error N Observations 6 ANOVA df SS MS Regression 1 0.607903685 0.607903685 Residual 4 0.020846315 0.005211579 Total 5 0.62875 Coefficients Standard Error Intercept 1.799069984 0.153403661 GMAT 0.002912113 0.000269635 A graduate school wants to try to predict GPA based on...
Below you are given a partial computer output based on a sample of 14 observations, relating...
Below you are given a partial computer output based on a sample of 14 observations, relating an independent variable (x) and a dependent variable (y). Predictor Coefficient Standard Error Constant 6.428 1.202 X 0.470 0.035 Analysis of Variance SOURCE SS Regression 958.584 Error (Residual) Total 1021.429 a. Develop the estimated regression line. b. At  = 0.05, test for the significance of the slope. c. At  = 0.05, perform an F test. d. Determine the coefficient of determination. e....
Using the attached regression output, answer the following: SUMMARY OUTPUT Regression Statistics Multiple R 0.972971 R...
Using the attached regression output, answer the following: SUMMARY OUTPUT Regression Statistics Multiple R 0.972971 R Square 0.946673 Adjusted R Square 0.944355 Standard Error 76.07265 Observations 49 ANOVA df SS MS F Significance F Regression 2 4725757 2362878 408.3046 5.24E-30 Residual 46 266204.2 5787.049 Total 48 4991961 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -0.46627 14.97924 -0.03113 0.975302 -30.6179 29.68537 X1 0.09548 0.084947 1.123997 0.266846 -0.07551 0.26647 X2 0.896042 0.205319 4.364141 7.16E-05 0.482756 1.309328 a. What...
(a) Present the regression output below noting the coefficients, assessing the adequacy of the model and...
(a) Present the regression output below noting the coefficients, assessing the adequacy of the model and the p-value of the model and the coefficients individually. SUMMARY OUTPUT Regression Statistics Multiple R 0.19476248 R Square 0.037932424 Adjusted R Square 0.035147858 Standard Error 12.09940236 Observations 694 ANOVA df SS MS F Significance F Regression 2 3988.511973 1994.255986 13.62238235 1.5759E-06 Residual 691 101159.3165 146.3955376 Total 693 105147.8284 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 27.88762549...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT