Question

in a multiple regression analysis, two independent variables are considered, and the sample size is 30....

in a multiple regression analysis, two independent variables are considered, and the sample size is 30. The regression coefficients and the standard errors are as follows.

b1 = 1.331 Sb1 = 0.80
b2 = −2.922 Sb2 = 0.64

Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

H0: β1 = 0 H0: β2 = 0
H1: β1 ≠ 0 H1: β2 ≠ 0
H0 is rejected if t < −2.052 or t > 2.052

Homework Answers

Answer #1

H0: β1 = 0, H1: β1 ≠ 0

Test statistic: t = b1/Sb1 = 1.331/0.80 = 1.664

Critical value (Using Excel function T.INV.2T(probability,n-2)) = T.INV.2T(0.05,28) = 2.048

Since t < 2.048, H0 is not rejected. So, β1 = 0.

H0: β2 = 0, H1: β2 ≠ 0

Test statistic: t = b2/Sb2 = -2.922/0.64 = -4.566

Critical value (Using Excel function T.INV.2T(probability,n-2)) = T.INV.2T(0.05,28) = 2.048

Since t < - 2.048, H0 is rejected. So, β2 ≠ 0.

X1 should be removed since its cofficient is zero.

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 multiple regression analysis, two independent variables are considered, and the sample size is 27....
In a multiple regression analysis, two independent variables are considered, and the sample size is 27. The regression coefficients and the standard errors are as follows. b1 = 1.670 Sb1 = 0.52 b2 = ?2.018 Sb2 = 0.65 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
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...
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 output below is from a study that used multiple linear regression analysis to link dependent...
The output below is from a study that used multiple linear regression analysis to link dependent variable y to x1 and x2.The sample consisted of 28 observations.    Coeff Std Error t Stat P-value Intercept 85 34.10 2.493 .0196 b1 -1.2 .88 -1.364 .1847 b2 3.5 1.12 3.125 Use the appropriate t tests to determine which, if any, of the individual coefficients are statistically significant at the 5% significance level. Report your conclusion. CHoose from A,B,C, and D below A)...
In a multiple regression analysis, k = 5 and n = 21, the MSE value is...
In a multiple regression analysis, k = 5 and n = 21, the MSE value is 3.58, and SS total is 498.46. At the 0.05 significance level, can we conclude that any of the regression coefficients are not equal to 0? (Round your answers to 2 decimal places.) H0: β1 = β2 = β3 = β4 = β5 = 0 H1: Not all β's equal zero. Complete the following ANOVA table.
In a multiple regression equation k = 4 and n = 27, the MSE value is...
In a multiple regression equation k = 4 and n = 27, the MSE value is 4.20, and SST is 540.56. a. At the 0.05 significance level, can we conclude that any of the regression coefficients are not equal to 0? (Round the F value to 2 decimal places.) H0: β1 = β2 = β3 = β4 = β5 = 0                  H1: Not all β's equal zero. df1 = ? df2 = ? , so H0 is rejected if F >...
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...
Consider the following data for a dependent variable y and two independent variables, x1and x2. x1...
Consider the following data for a dependent variable y and two independent variables, x1and x2. x1 x2 y 30 12 96 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 The estimated regression equation for these data is ŷ = −17.33 + 2.00x1 + 4.73x2. Here, SST = 15,002.1, SSR = 13,887.5, sb1 = 0.2454,and sb2 = 0.9417. (a)Test for a significant...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT