Question

a multiple regression with four explanatory variables and 100 observations, it is found that SSR =...

a multiple regression with four explanatory variables and 100 observations, it is found that SSR = 4.75 and SST = 7.62.

a. Calculate the standard error of the estimate se. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)

STANDART ERROR .......................



b. Calculate the coefficient of determination R2. (Round your answer to 4 decimal places.)

Coefficient of determination ................................



c. Calculate adjusted coefficient of determination R2. (Round your answer to 4 decimal places.)

adjusted coefficient of determination ....................

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
1. A sample of data with n = 43 observations is used to run a multiple...
1. A sample of data with n = 43 observations is used to run a multiple regression with 5 independent variables. If this data set has SST = 1908.5 and SSR = 1055.4, what is the value of the adjusted multiple coefficient of determination? Round your answer to three decimal places. 2. A sample of data with n = 43 observations is used to run a multiple regression with 6 independent variables. If this data set has SST = 1314.8...
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 following results were obtained as part of a multiple regression analysis involving 3 independent variables:...
The following results were obtained as part of a multiple regression analysis involving 3 independent variables: SSR = 11440   SSYY = 16781       and n = 28 What is the value of the calculated F statistic? What is the critical value for the model test if alpha = 0.05? What is the value of the coefficient of determination? What is the value of the standard error of the estimate? What is the value of adjusted R2? What are the total number...
Given are five observations for two variables, and . 1 2 3 4 5 4 6...
Given are five observations for two variables, and . 1 2 3 4 5 4 6 8 12 14 The estimated regression equation for these data is . ^y=1+2.6x a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE=Σ(yi-^yi) SST=Σ(yi-^yi) SSR=Σ(yi-^yi) b. Compute the coefficient of determination r^2 (to 3 decimals). Does this least squares line provide a good fit? c. Compute the sample correlation coefficient (to 4 decimals)
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,...
In a multiple linear regression with 40 observations, the following sample regression equation is obtained: yˆy^...
In a multiple linear regression with 40 observations, the following sample regression equation is obtained: yˆy^ = 10.0 + 2.7x1 − 1.4x2 with se = 5.86. Also, when x1 equals 16 and x2 equals 7, se(yˆ0)se(y^0) = 2.10. [You may find it useful to reference the t table.] a. Construct the 95% confidence interval for E(y) if x1 equals 16 and x2 equals 7. (Round intermediate calculations to at least 4 decimal places, "tα/2,df" value to 3 decimal places, and...
1, As a result of running a simple regression on a data set, the following estimated...
1, As a result of running a simple regression on a data set, the following estimated regression equation was obtained:       = 1.6 − 3.0x Furthermore, it is known that SSR = 674, and SSE = 128. Calculate the correlation coefficient R ; round your answer to three decimal places. 2. A sample of data with n = 22 observations is used to run a multiple regression with 8 independent variables. If this data set has SST = 2309.1068 and SSE...
Given are five observations collected in a regression study on two variables. x i 2 6...
Given are five observations collected in a regression study on two variables. x i 2 6 9 13 20 y i 7 18 9 26 23 1. Compute SSE, SST, and SSR (round to one decimals). 2. Compute the coefficient of determination (round to four decimals). 3. Compute the mean square error (round to two decimals). 4. Compute the estimated standard deviation of b1 (round to four decimals). 5. Compute the p-value and t value (test statistic) of the t...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 3...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 3 3,662.36 1,220.79 27.55 Residual Error 54 2,392.82 44.31 Total 57 6,055.18 a-1. Determine the standard error of estimate. (Round your answer to 2 decimal places.) a-2. About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.) b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.) b-2. Determine the percentage variation for...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y)...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (x2). The estimated regression equation was ŷ = 82.5 + 2.26x1 + 1.30x2. The computer solution, based on a sample of eight weeks, provided SST = 25.3 and SSR = 23.415. (a)Compute and interpret R2 and Ra2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT