Question

A regression model involved 5 independent variables and 136 observations. The critical value of t for...

A regression model involved 5 independent variables and 136 observations. The critical value of t for testing the significance of each of the independent variable's coefficients will have

Homework Answers

Answer #1

Answer:

Given,

n = 136

k = 5

Here we have to remember that there are p = k + 1 ordinary conditions, one for every one of the obscure relapse coefficients.

The answer for the ordinary conditions will be the least-squares estimators

Subsequently,

p = k + 1

= 5 +1

p = 6

Now the critical value of t for testing the significance of every one of the autonomous factors coefficient will have is, T alpha/2,n-p

Let us assume alpha = 0.05

At that point estimation of t is,

Critical value = T 0.025, 130 = 1.97838

So now for alpha = 0.01

At that point estimation of t is,

Critical value = T 0.005, 130 = 2.614177

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
A regression model involved 5 independent variables and 126 observations. The critical value of t for...
A regression model involved 5 independent variables and 126 observations. The critical value of t for testing the significance of each of the independent variable's coefficients will have is __
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...
Perform a t test using the critical value approach for the significance of β1. Use a...
Perform a t test using the critical value approach for the significance of β1. Use a level of significance of 0.05. Perform a t test using the critical value approach for the significance of β2. Use a level of significance of 0.05. The estimated regression equation for a model involving two independent variables and 65 observations is: yhat = 55.17+1.1X1 -0.153X2 Other statistics produced for analysis include: SSR = 12370.8, SST = 35963.0, Sb1 = 0.33, Sb2 = 0.20.
The estimated regression equation for a model involving two independent variables and observations follows. y =...
The estimated regression equation for a model involving two independent variables and observations follows. y = 29.1379 + .7302 x1 + .5196 x2 A. Interpret and in this estimated regression equation. b1 = b2 = B. Estimate when y x1=180 and x2=310 (to 3 decimals).
The regression analysis was rerun below dropping variables X4, X5, and X6. (50 observations) Term Coef...
The regression analysis was rerun below dropping variables X4, X5, and X6. (50 observations) Term Coef SE Coef T-Value Constant -5.1 14.7 -0.35 X 1 12.44 2.32 5.36 X 3 6.41 1.70 3.76 X 7 0.0979 0.0510 1.92 X 9 -0.0263 0.0146 -1.80 Use the t test at the 0.05 level of significance to determine the significance of each independent variable. What is the value of the T Critical Point?               How many degrees of freedom? Would you eliminate any variable...
A sample of 10 observations collected in a regression study on three variables, x_1(independent variable), x_2(independent...
A sample of 10 observations collected in a regression study on three variables, x_1(independent variable), x_2(independent variable and y(dependent variable). The sample resulted in the following data. SSR=28, SST=34 Using a 0.01 level of significance, we conclude that the regression model is significant overall. (Enter 1 if the conclusion is correct. Enter 0 if the conclusion is wrong.)
A sample of 12 observations collected in a regression study on two variables, x(independent variable) and...
A sample of 12 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=77, SST=88,  summation (x_i-xbar)2=23, summation (x_i-xbar)(y_i-ybar)=44. Calculate the t test statistics to determine whether a statistically linear relationship exists between x and y. A sample of 7 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=24, SST=42 Using a 0.05 level of significance,...
A sample of 5 observations collected in a regression study on two variables, x(independent variable) and...
A sample of 5 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. summation (x_i-xbar)2=15, summation (x_i-xbar)(y_i-ybar)=60,    xbar=3, ybar=10 Calculate the y-intercept (b_0) of the estimated regression equation. A sample of 11 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. summation (x_i-xbar)2=22, summation (x_i-xbar)(y_i-ybar)=64,    xbar=3, ybar=10 Calculate the slope of the estimated regression equation. A sample of...
The estimated regression equation for a model involving two independent variables and 10 observations follows. y=27.1671...
The estimated regression equation for a model involving two independent variables and 10 observations follows. y=27.1671 + 0.7533x1 + 0.7419x2 b1= b2= estimate y when x1=180 and x2= 310
A regression model was developed relating amount charge to a credit card of ABC Bank with...
A regression model was developed relating amount charge to a credit card of ABC Bank with two independent variables: Household Size and Income (in thousands) of the customer. Part of the regression results are shown below 1.   What is the value of the F test statistic for testing whether the regression model overall is significant? (2 Points) 2.   What is the rejection rule for testing whether the regression model is significant at the 0.05 level of significance? Use the critical...