Question

Refer to the following regression output: Predictor Coef SE Coef Constant    30.00 13.70 X1    -7.00 3.60...

Refer to the following regression output:

Predictor Coef SE Coef
Constant    30.00 13.70
X1    -7.00 3.60
X2 3.00 9.30
X3 -19.00 10.80
Source DF SS MS F
  Regression 3.00 8,200.00
  Error 25.00
    Total

28.00

10,000.00

a. What is the regression equation? (Round the final answers to the nearest whole number. Negative answer should be indicated by a minus sign.)

Y′ =  +   X1 +  X2 +  X3

b. If X1 = 4, X2 = 6, and X3 = 8, what is the value of the dependent variable? (Round the final answer to the nearest whole. Negative answer should be indicated by a minus sign.)

Y′ =

c-1. How large is the sample?

Sample size           

c-2. How many independent variables are there?

Quantity of independent variables           

d. Complete the ANOVA table. (Round the final answers to 2 decimal places.)

Source DF SS MS F
  Regression 3   8,200.00
  Error 25
    Total 28 10,000.00

e-1. Conduct a global test of hypothesis, using the 0.05 significance level. (Round the final answers to 2 decimal places.)

H0: β1 = β2 = β3 = 0

H1: Not all β's are 0

Reject H0 if F >             .

The value of the test statistic is             .

f-1. Conduct a test of hypothesis on each of the regression coefficients. (Round the final answers to 3 decimal places. Negative answer should be indicated by a minus sign.)

For X1 For X2 For X3
H0: β1 = 0 H0: β2 = 0 H0: β3 = 0
H1: β1 ≠ 0 H1: β2 ≠ 0 H1: β3 ≠ 0

Reject H0 if t >  or t <  .

f-2. Compute the values of the test statistic. (Round the final answers to 2 decimal places. Negative answer should be indicated by a minus sign.)

Test statistic
X1   
X2   
X3

Homework Answers

Answer #1

a)Yhat=30+(-7)*x1+3*x2+(-19)*x3

b)

Yhat=30+(-7)*4+3*6+(-19)*8= -132

c-1) Sample size =28+1=29

c-2) independent variables =3

d)

Source DF SS MS F
  Regression 3 8200 2733.33 37.96
  Error 25 1,800.00 72.00
    Total 28 10,000.00

e-1)

Reject H0 if F > 2.99

The value of the test statistic is 37.96

f-1) Reject H0 if t >2.060 or t <-2.060

Predictor test statistic
X1 -1.94
X2 0.32
X3 -1.76
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Predictor Coef SE Coef T     Constant 10.487 2.967 5.19 X1 0.402 0.03121 4.20 X2 -0.402...
Predictor Coef SE Coef T     Constant 10.487 2.967 5.19 X1 0.402 0.03121 4.20 X2 -0.402 0.05353 -2.55 X3 0.217 0.03901 -1.89 X4 0.804 0.1420 3.97 X5 -0.345 0.03999 -1.9   Analysis of Variance   Source DF SS MS F   Regression 5 3710.00 742.00 15.39   Residual Error 47 2647.38 57.55   Total 52 6357.38 X1 is the number of architects employed by the company. X2 is the number of engineers employed by the company. X3 is the number of years involved with health...
The following regression output was obtained from a study of architectural firms. The dependent variable is...
The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars. Predictor Coefficient SE Coefficient t p-value Constant 9.387 3.069 3.059 0.010 x1 0.232 0.204 1.137 0.000 x2 − 1.214 0.584 − 2.079 0.028 x3 − 0.273 0.424 − 0.644 0.114 x4 0.642 0.362 1.773 0.001 x5 − 0.060 0.028 − 2.143 0.112 Analysis of Variance Source DF SS MS F p-value Regression 5 2,364.50 472.9...
Given the following regression output, Predictor Coefficient SE Coefficient t p-value Constant 84.998 1.863 45.62 0.000...
Given the following regression output, Predictor Coefficient SE Coefficient t p-value Constant 84.998 1.863 45.62 0.000 x1 2.391 1.200 1.99 0.051 x2 -0.409 0.172 -2.38 0.021 Analysis of Variance Source DF SS MS F p-value Regression 2 77.907 38.954 4.138 0.021 Residual Error 62 583.693 9.414 Total 64 661.600 answer the following questions: Write the regression equation. (Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.) y= ____________ + _______________x1 + ________________ x2...
The following regression output was obtained from a study of architectural firms. The dependent variable is...
The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.   Predictor Coeff SE Coeff t p-value   Constant 8.366 3.002 2.787 0.010 X1 0.225 0.301 0.748 0.000   X2 –1.216 0.538 –2..260 0.028   X3 -0.070 0.377 –0.186 0.114   X4 0.552 0.322 1.714 0.001   X5 -0.049 0.028 –1.750 0.112   Analysis of Variance   Source DF SS MS F p-value   Regression 5 2197.68 439.5 9.68 0.000   Residual Error 59 2679.56...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ =...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,550 and SSE = 530. (a) At α = 0.05, test whether x1  is significant.State the null and alternative hypotheses. H0: β1 ≠ 0 Ha: β1 = 0 H0: β0 ≠ 0 Ha: β0 = 0    H0: β0 = 0 Ha: β0 ≠ 0 H0: β1 = 0 Ha: β1 ≠ 0 Find the value...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ =...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,600 and SSE = 550. (a) At α = 0.05, test whether x1is significant.State the null and alternative hypotheses. H0: β0 = 0 Ha: β0 ≠ 0 H0: β0 ≠ 0 Ha: β0 = 0    H0: β1 ≠ 0 Ha: β1 = 0 H0: β1 = 0 Ha: β1 ≠ 0 Find the value...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ =...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,815 and SSR = 1,780. (a) At α = 0.05, test the significance of the relationship among the variables. State the null and alternative hypotheses. H0: β0 = β1 = β2 = β3 = β4 = 0 Ha: One or more of the parameters is not equal to...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ =...
In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,600 and SSE = 550. (a) At α = 0.05, test whether x1 is significant. State the null and alternative hypotheses. H0: β0 = 0 Ha: β0 ≠ 0H0: β0 ≠ 0 Ha: β0 = 0    H0: β1 ≠ 0 Ha: β1 = 0H0: β1 = 0 Ha: β1 ≠ 0 Find the value of...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ =...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,835 and SSR = 1,800. (a)At α = 0.05, test the significance of the relationship among the variables.State the null and alternative hypotheses. -H0: One or more of the parameters is not equal to zero. Ha: β0 = β1 = β2 = β3 = β4 = 0 -H0:...
Refer to the ANOVA table for this regression. Source d.f. SS MS Regression 3 1,154,649 384,883...
Refer to the ANOVA table for this regression. Source d.f. SS MS Regression 3 1,154,649 384,883 Error 18 349,308 19,406 Total 21 1,503,957 (a) State the degrees of freedom for the F test for overall significance. The degrees of freedom for regression are _____ and for error _____. (b) Use Appendix F to look up the critical value of F for α = .05. (Round your answer to 2 decimal places.) F.05 ________ (c-1) Calculate the F statistic. (Round your...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT