Question

The following is a partial computer output of a multiple regression analysis of a data set...

The following is a partial computer output of a multiple regression analysis of a data set containing 20 sets of observations on the dependent variable

The regression equation is
SALEPRIC = 1470 + 0.814 LANDVAL = 0.820 IMPROVAL + 13.5 AREA

Predictor

Coef

SE Coef

T

P

Constant

 1470 5746 0.26 0.801

LANDVAL

 0.8145 0.5122 1.59 0.131

IMPROVAL

 0.8204 0.2112 3.88 0.0001

AREA

 13.529 6.586 2.05 0.057
S = 79190.48 R-Sq = 89.7% R-Sq(adj) = 87.8%


Analysis of Variance

Source

DF

SS

MS

Regression

 3 8779676741 2926558914

Residual Error

 16 1003491259 62718204

Total

 19 9783168000


For the problem above, we want to carry the significance test about the coefficient of LANDVAL, what is the t-value for this test, and is it significant?

Which answer?

1.59, not significant

0.26, not significant

2.05, significant

46.66, significant

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
Use the multiple regression output shown to answer the following questions. The regression equation is Y=9.40+0.332X⁢1+0.067X⁢2-0.251X⁢3...
Use the multiple regression output shown to answer the following questions. The regression equation is Y=9.40+0.332X⁢1+0.067X⁢2-0.251X⁢3 Predictor Coef SE Coef T P Constant 9.395 6.858 1.37 0.184 X⁢1 0.3316 0.8962 0.37 0.716 X⁢2 0.0666 -0.0520 -1.28 0.214 X⁢3 -0.2508 -0.1036 2.42 0.025 S=4.84768 R-Sq=15.0% R-Sq(adj)=2.8% Analysis of Variance Source DF SS MS F P Regression 3 86.8 28.93 1.23 0.322 Residual Error 21 493.5 23.5 Total 24 580.3 a) Which variable might we try eliminating first to possibly improve this...
From the following MINITAB regression analysis, what can you conclude for the hypothesis test of Ho:...
From the following MINITAB regression analysis, what can you conclude for the hypothesis test of Ho: β1=0 versus Ha: β1≠ 0 using α=0.10? The regression equation is Test2 = 27.8 + 0.583 Test1    Predictor Coef SE Coef T P Constant 27.82 25.00 1.11 0.278 Test1 0.5825 0.3070 1.90 0.071    S = 22.9977 R-Sq = 14.1% R-Sq(adj) = 10.2% The null hypothesis would not be rejected and the conclusion would be that the x variable is of no use...
Results for: KCereals.mtw Regression Analysis: Rating versus Shelf position Method Categorical predictor coding (1, 0) Analysis...
Results for: KCereals.mtw Regression Analysis: Rating versus Shelf position Method Categorical predictor coding (1, 0) Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 2 1511 755.6 5.50 0.013 Shelf position 2 1511 755.6 5.50 0.013 Error 20 2748 137.4 Total 22 4259 Model Summary S R-sq R-sq(adj) R-sq(pred) 11.7222 35.48% 29.03% 21.34% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 32.85 4.43 7.41 0.000 Shelf position bottom 7.40 7.35 1.01 0.326 1.30 top 18.15 5.58...
Data were collected on the age (in years) and price (in thousands of dollars) of a...
Data were collected on the age (in years) and price (in thousands of dollars) of a random sample of 25 used Honda Civic. A scatterplot of the data (with regression line) and computer output from a regression analysis are provided: Pearson correlation of the age (in years) and price (in thousands of dollars) = ? P-Value =? The regression equation is Price = 15.3 - 1.71 Age Predictor Coef SE Coef T P Constant 15.2912 0.5840 Age -1.7126 0.1264 S...
Data were collected on the age (in years) and price (in thousands of dollars) of a...
Data were collected on the age (in years) and price (in thousands of dollars) of a random sample of 25 used Honda Civic. A scatterplot of the data (with regression line) and computer output from a regression analysis are provided: Pearson correlation of the age (in years) and price (in thousands of dollars) = ? P-Value =? The regression equation is Price = 15.3 - 1.71 Age Predictor Coef SE Coef T P Constant 15.2912 0.5840 Age -1.7126 0.1264 S...
Examine the Minitab output shown here for a multiple regression analysis. How many predictors were there...
Examine the Minitab output shown here for a multiple regression analysis. How many predictors were there in this model? Comment on the overall significance of the regression model. Discuss the t ratios of the variables and their significance. The regression equation is y = 4.091 - 5.111x1+ 2.662x2 + 1.557x3 + 1.141x4 +1.655x5 - 1.248x6 + 0.436x7 + 0.959x8 + 1.289x9 Predictor Coef Stdev T p   Constant 4.096 1.2884 3.24 .006 x1 -5.111 1.8700 2.73 .011 x2 2.662 2.0796 1.28...
Study the following Minitab output from a regression analysis to predict y from x. a. What...
Study the following Minitab output from a regression analysis to predict y from x. a. What is the equation of the regression model? b. What is the meaning of the coefficient of x? c. What is the result of the test of the slope of the regression model? Let α = .10.Why is the t ratio negative? d. Comment on r2 and the standard error of the estimate. e. Comment on the relationship of the F value to the t...
Regression Analysis with a Minitab output Assume that your company owns multiple retail outlets in cities...
Regression Analysis with a Minitab output Assume that your company owns multiple retail outlets in cities across the United States. You conduct a study to determine if daily sales levels (in hundreds of dollars) can be predicted by the number of competitors that are located within a one-mile radius of each location and city population (in thousands of people). Therefore, the dependent variable is SALES and the two independent variables are NUMBER OF COMPETITORS and CITY POPULATION. Your research team...
12.4 Study the following Minitab output from a regression analysis to predict y from x. a....
12.4 Study the following Minitab output from a regression analysis to predict y from x. a. What is the equation of the regression model? b. What is the meaning of the coefficient of x? c. What is the result of the test of the slope of the regression model? Let α = .10.Why is the t ratio negative? d. Comment on r2 and the standard error of the estimate. e. Comment on the relationship of the F value to the...
The regression equation is Sales = 0.20 + 2.60 Adbudget Predictor Coef SE Coef T P...
The regression equation is Sales = 0.20 + 2.60 Adbudget Predictor Coef SE Coef T P Constant 0.200 2.132 0.09 0.931 Adbudget 2.6000 0.6429 4.04 0.027 S = 2.03306 R-Sq = 84.5% R-Sq(adj) = 79.3% Analysis of Variance Source     DF SS MS   F P Regression 1 67.600 67.600 16.35 0.027 Residual Error 3 12.400 4.133 Total 4 80.000 a) What is the slope of the regression equation? b) Null and alternative hypothesis c) Is the slope significantly different than...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT