Question

Exhibit 16-1 In a regression analysis involving 25 observations, the following estimated regression equation was developed....

Exhibit 16-1
In a regression analysis involving 25 observations, the following estimated regression equation was developed.

Y=10 - 18X1+ 3X2 + 14X3

Also, the following standard errors and the sum of squares were obtained.

Sb1 = 3 Sb2 = 6 Sb3 = 7
SST = 4,800 SSE = 1,296



Refer to Exhibit 16-1. If you want to determine whether or not the coefficients of the independent variables are significant, the critical value of t statistic at α = 0.05 is

2.080

2.060

2.064

1.96

Homework Answers

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
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 = 1,805 and SSR = 1,770 a. Find the value of the test statistic. (Round your answer to two decimal places.) _________ b. Suppose variables x1 and x4 are dropped from the model and the following estimated regression equation is obtained. ŷ = 11.1 − 3.6x2 + 8.1x3 Compute...
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 multiple regression model involving 30 observations, the following estimated regression equation was obtained: ​...
In a multiple regression model involving 30 observations, the following estimated regression equation was obtained: ​ ŷ = 17 + 4x1- 3x2+ 8x3+ 8x4 ​ ​For this model, SSR = 700 and SSE = 100. The computed F statistic for testing the significance of the above model is A. 7.00. B. 43.75. C. 4.00. D. 50.19.
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...
The estimated regression equation for a model involving two independent variables and 55 observations is: y-hat...
The estimated regression equation for a model involving two independent variables and 55 observations is: y-hat = 55.17 + 1.1X1 - 0.153X2 Other statistics produced for analysis include: SSR = 12370.8 SST = 35963.0 Sb1 = 0.33 Sb2 = 0.20 Interpret b1 and b2 in this estimated regression equation b. Predict y when X1 = 55 and X2 = 70. Compute R-square and Adjusted R-Square. e. Compute MSR and MSE. f. Compute F and use it to test whether the...
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:...
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 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 = 18.9 + 3.2x1 − 2.2x2 + 7.8x3 + 2.9x4 (a) Interpret b1 in this estimated regression equation. b1 = 7.8 is an estimate of the change in y corresponding to a 1 unit change in x3 when x1, x2, and x4 are held constant.b1 = 3.2 is an estimate of the change in y corresponding to a 1 unit change in x1 when x2,...
1.A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1...
1.A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1 – 2.5 x2, to predict y = the market price of a home (in $1,000s), using two independent variables, x1 = the total number of square feet of living space, and x2 = the age of the house in years. With this regression model, the predicted price of a 10-year old home with 2,500 square feet of living area is __________. $205.00 $255,000.00 $200,000.00...