Question

df ss MS F Regression 1 15.75 15.75 8.600682594 Residual 8 14.65 1.83125 Total 9 30.4...

df ss MS F
Regression 1 15.75 15.75 8.600682594
Residual 8 14.65 1.83125
Total 9 30.4

Consider the following ANOVA table obtained as part of a simple linear regression (that includes an intercept term) analysis output:

.

  1. Calculate the estimated value of standard deviation of the regression model error using the above ANOVA table.
  2. Calculate the sample variance of the response/dependent variable from the above data.

This is all information I have in my question

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
df SS MS F Regression A 8,693.11 4,346.56 375.16 Residual 22 254.89 C Total 24 B...
df SS MS F Regression A 8,693.11 4,346.56 375.16 Residual 22 254.89 C Total 24 B Coefficients Standard Error t-stat p-value Intercept 257.74 22.82 11.29 1.27E-10 x1 -2.97 0.47 -6.31 2.37E-06 x1 0.23 0.24 0.96 0.3454 a. What is the sample regression equation? b. Interpret the slope coefficient for x1. c. Find the predicted value for y if x1 equals 25 and x2 equals 50. d. Fill in the missing values in the ANOVA table. e. Calculate the standard error...
ANOVA df SS MS F Significance F Regression 849 14.04 Residual 247 Total 61 1096 Determine...
ANOVA df SS MS F Significance F Regression 849 14.04 Residual 247 Total 61 1096 Determine the degrees of freedom for the regression and degrees of freedom for the error (you may need to round to the nearest integer): Degrees of Freedom for the Regression = Degrees of Freedom for the Error =
A linear regression analysis was carried out and from the sample data, the partially filled ANalysis...
A linear regression analysis was carried out and from the sample data, the partially filled ANalysis Of VAriance (ANOVA) given in part (a) was obtained. Based on it, answer the following: ========== a) Complete the ANalysis Of VAriance (ANOVA) table below. Source  Source df  df SS  SS MS  MS Regression (Model)  Regression (Model) 11 86.5986.59 19.930319.9303 Residual Error  Residual Error 2828    Total  Total 2929 208.24208.24       -------- b) The regression standard error, s=s=   -------- c) To test  H0:β1=0H0:β1=0 based on the given information,   the value of...
Multiple R=0.81112189 R Square=0.65791872 Adj. R Square=0.61515856 Standard Error=11.6506589 Observations=10 Regression: df=1 ss=2088.497175 ms=2088.497 F=15.3863 Residual:...
Multiple R=0.81112189 R Square=0.65791872 Adj. R Square=0.61515856 Standard Error=11.6506589 Observations=10 Regression: df=1 ss=2088.497175 ms=2088.497 F=15.3863 Residual: df=8 ss=1085.902825 ms=135.7379 Total: df=9 ss=3174.4 Intercept: Coefficients=-70.39 Std. Error=30.00 P-value=0.047 X: Coefficients=17.18 Std. Error=4.38 t-stat=3.92 p value=0.004 Question: For the test of hypothesis regarding the intercept of the model, compute and report the calculated value of the test-statistic. Question: Predict value of Y, when X = 10.
Consider the following table: Source SS DF MS Test Statistic Regression ?? 3    2.29 Error...
Consider the following table: Source SS DF MS Test Statistic Regression ?? 3    2.29 Error 4766.5       Total 8040.34 13 Copy Data Step 1 of 9: Calculate the Sum of Squared Regression. Round your answer to two decimal places, if necessary. Consider the following table: Source SS DF MS Test Statistic Regression    3    2.29 Error 4766.5 ??    Total 8040.34 13 Copy Data Step 2 of 9: Calculate the Degrees of Freedom among Error. Consider the...
Given the following ANOVA table Source DF SS Regression 1 1800 Residual 16 900 Total 17...
Given the following ANOVA table Source DF SS Regression 1 1800 Residual 16 900 Total 17 2700 The total variability in the Y observations that can be explained by this regression model is ______%. Round to one decimal point and do not include the % sign.
Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression...
Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12323.56 12323.56 90.0481 Residual 8 1094.842 136.8550 Total 9 13418.4 The regression equation is _______. Multiple Choice Ŷ = 2.1794 − 12.8094X Ŷ = −12.8094 + 2.1794X 12.8094X = 2.1794Ŷ X = −12.8094 + 2.1794 Ŷ
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5 3,931.60 786.32 14.34 Residual Error 50 2,742.06 54.84 Total 55 6,673.66 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. Interpret the coefficient of multiple...
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...
ANOVA df SS Regression 1 24.011 Residual 8 67.989 Coefficients Standard Error Intercept 11.065 2.043 x...
ANOVA df SS Regression 1 24.011 Residual 8 67.989 Coefficients Standard Error Intercept 11.065 2.043 x -0.511 0.304 a. What has been the sample size for the above? b. Perform a t test and determine whether or not X and Y are related. Let α = 0.05. c. Perform an F test and determine whether or not X and Y are related. Let α = 0.05.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT