Question

On the first statistics exam, the coefficient of determination between the hours studied and the grade...

On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 90%. The standard error of estimate was 7. There were 15 students in the class.

Develop an ANOVA table. (Round the final answers to the nearest whole number.)

  Source df SS MS
  Regression 1 ? ?
  Residual 13 ? ?
       Total 14 ?

Homework Answers

Answer #1

Standard error of estimate = (Residual sum of squares/n-2)1/2

ie 7 = (Se2/15-2)1/2

Solve get Se2 = 637

Coefficient of determination = 0.9

ie (1- TSSE/TSS) = 0.9

we just got TSSE = 637

We solve and get Total Sum of Squares (TSS) = 6370

Regression Sum Of Squares = 6370 - 637 = 5733

The table can now be completed. It is as follows :

Source df SS MSS F
Regression 1 5733 5733 117
Residual 13 637 49
Total 14 6370
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
On the first statistics exam, the coefficient of determination between the hours studied and the grade...
On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 78%. The standard error of estimate was 11. There were 25 students in the class. Develop an ANOVA table for the regression analysis of hours studied as a predictor of the grade earned on the first statistics exam. (Round your decimal answers to 2 places.) Source DF SS MS Regression Error Total
On the first statistics exam, the coefficient of determination between the hours studied and the grade...
On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 75%. The standard error of estimate was 20. There were 24 students in the class. Develop an ANOVA table for the regression analysis of hours studied as a predictor of the grade earned on the first statistics exam. (Round your decimal answers to 2 places.) Source DF SS MS Regression Error Total
On the first statistics exam, the coefficient of determination between the hours studied and the grade...
On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 78%. The standard error of estimate was 11. There were 25 students in the class. Develop an ANOVA table for the regression analysis of hours studied as a predictor of the grade earned on the first statistics exam. (Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 2 decimal places.)   Source DF SS MS   Regression...
The Regression Coefficient (b)  = **The Y-Intercept (a) = The Adjusted Coefficient of Determination (R^2) = The...
The Regression Coefficient (b)  = **The Y-Intercept (a) = The Adjusted Coefficient of Determination (R^2) = The Coeffefficient of Correlation (r ) = F-Ratio = Predict the Attendance Rate when there is a Welfare Rate of 15 Cases = Regression Statistics NOTE: Yellow Cells (NA = Not Available) have been intentionally provided without values. Multiple R 0.788542385 All of the information that you need to complete the questions is on this page. R Square NA All answers are to be on...
A teacher wishes to investigate if there is any relationship between a student’s exam score in...
A teacher wishes to investigate if there is any relationship between a student’s exam score in Mathematics (X) and the exam score in Accounting (Y). A sample of 11 students is randomly selected and the results are summarized in the ANOVA table below:                                                                                                                    15 Marks df SS Regression 1 1305.68 Residual 9 81.96 Total 10 1387.64 Coefficients Standard Error t Stat p-value Intercept 24.13 4.657 5.182 0.005 MathScore 0.759 0.063 11.974 0.001 a. What is the estimated regression equation...
Given the following ANOVA table: Source DF SS MS F Regression 1 1,500.0 1,500.00 24.00 Error...
Given the following ANOVA table: Source DF SS MS F Regression 1 1,500.0 1,500.00 24.00 Error 12 750.0 62.50 Total 13 2,250.0 Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination ________? Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Coefficient of correlation ______? Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate ________?
The data below are the final exam scores of 10 randomly selected statistics students and the...
The data below are the final exam scores of 10 randomly selected statistics students and the number of hours they studied for the exam. Test the significance of the correlation coefficient using = 0.05 and the claim = 0. Hours, x Scores, y 4 67 6 82 3 62 9 90 3 68 5 80 5 87 6 92 7 92 4 73
The following table number of absences (x) and the grade earned on the first exam (y)...
The following table number of absences (x) and the grade earned on the first exam (y) for a Statistics class. x: 3, 5, 2, 6, 5, 8 y: 90, 76, 91, 54, 84, 56 The least-squares regression line is in the form y = b_0 + b_1 x. Compute the value of b_0. That is, compute the intercept. Write only a number as your answer.
Given the following ANOVA table: Source DF SS MS F Regression 1 1,340.0 1,340.00 27.73 Error...
Given the following ANOVA table: Source DF SS MS F Regression 1 1,340.0 1,340.00 27.73 Error 12 580.0 48.33 Total 13 2,700.0 Determine the coefficient of determination. (Round your answer to 3 decimal places.) Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal place Determine the standard error of estimate. (Round your answer to 2 decimal places.)
Research into the relationship between hours of study and grades show widely different conclusions. A recent...
Research into the relationship between hours of study and grades show widely different conclusions. A recent survey of graduates who wrote the Graduate Management Admissions Test (GMAT) had the following results. Hours Studied Average Score (Midpoint) 64 350 72 450 79 550 106 650 99 750 The Excel output for this regression is as following SUMMART OUTPUT ____________________________    Regression Statistics ____________________________ Multiple R 0.919958 R Square 0.846322 Adjusted R Square 0.795097 Standard Error 71.57225 Observations 5 Anova ___________________________________________________________________________________________   ...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT