Question

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 the test statistic :  

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
13.33) Shown here is an incomplete analysis of variance table for a simple regression analysis. Compute...
13.33) Shown here is an incomplete analysis of variance table for a simple regression analysis. Compute the coefficient of determination and interpret its value: Anova Source df SS MS F Regression 1 5165 Error 7 18554 Total 8 23718
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: . Calculate the estimated value of standard deviation of the regression model error using the above ANOVA table. Calculate the sample variance of the response/dependent variable from the above data. This is all information I have in my question
A researcher computes the following analysis of regression table. Based on the data given, what is...
A researcher computes the following analysis of regression table. Based on the data given, what is the decision for this test at a 0.05 level of significance? (Note: Complete the table first.) Source of Variation SS df MS F Regression 1 28 Residual Total 118 19 ___X significantly predicts Y. ' ___X does not significantly predict Y. ___There is not enough information to answer this question.
1. The following output was obtained from a regression analysis of the dependent variable Rating and...
1. The following output was obtained from a regression analysis of the dependent variable Rating and an independent variable Price.                                                         Anova df SS MS f Regression 1 301.701 301.701 32.94 Residual 15 128.221 9.1586 Total 16 429.922 Coefficients Standard Error T Stat P value Intercept 45.623 3.630 12.569 0.000 Price .107 0.016 6.552 0.002 a. Use the critical value approach to perform an F test for the significance of the linear relationship between Rating and Price at the 0.05 level...
The following output was obtained from a regression analysis of the dependent variable Rating and an...
The following output was obtained from a regression analysis of the dependent variable Rating and an independent variable Price. (10 points) ANOVA df SS MS F Regression 1 372.707 372.707 42.927 Residual 15 130.234 8.682 Total 16 502.941 Coefficients Standard Error t Stat P-value Intercept 45.623 3.630 12.569 0.000 Price 0.107 0.016 6.552 0.000 Use the critical value approach to perform an F test for the significance of the linear relationship between Rating and Price at the 0.05 level of...
A least-squares simple linear regression model was fit predicting duration (in minutes) of a dive from...
A least-squares simple linear regression model was fit predicting duration (in minutes) of a dive from depth of the dive (in meters) from a sample of 43 penguins' diving depths and times. Calculate the R-squared value for the regression by filling in the ANOVA table. SS df MS F-statistic Regression Residual 1182.955 Total 537814.901 0.91 0.0902 0.0022 4.92461123041641e-23
Consider the partially completed ANOVA summary table below. Complete parts a through d below. Source df...
Consider the partially completed ANOVA summary table below. Complete parts a through d below. Source df SS MS F Regression 1 700 Residual Total 9 1000 a. Complete the remaining entries in the table. Source df SS MS F Regression 1 700 nothing nothing Residual nothing nothing nothing Total 9 1000 ​(Type integers or decimals rounded to two decimal places as​ needed.) b. How many ordered pairs are in this​ sample? c. Calculate the sample coefficient of determination. d. Using...
Complete the following ANOVA table for a multiple linear regression model and answer the following questions....
Complete the following ANOVA table for a multiple linear regression model and answer the following questions. Source df SS MS F Regression 93 30 Total 33 267 a) How many independent variables are included in the model? b) State the null and alternate hypothesis to be tested. c) At a 0.01 level of significance, is the multiple linear regression model significant? (Justify) d) How many data points have been collected?
Complete the following ANOVA table for a multiple linear regression model and answer the following questions....
Complete the following ANOVA table for a multiple linear regression model and answer the following questions. Source df SS MS F Regression 93 30 Total 33 267 a) How many independent variables are included in the model? b) State the null and alternate hypothesis to be tested. c) At a 0.01 level of significance, is the multiple linear regression model significant? (Justify) d) How many data points have been collected?
It has been speculated that there is a linear relationship between Oxygen and Hydrocarbon Levels. Specifically,...
It has been speculated that there is a linear relationship between Oxygen and Hydrocarbon Levels. Specifically, Oxygen purity is assumed to be dependent on Hydrocarbon levels. A linear regression is performed on the data in Minitab, and you get the following results: Regression Analysis: Purity-y versus Hydrocarbon level-X Predictor              Coef SE Coef      T      P Constant             74.283    1.593 46.62 0.000 Hydrocarbon level-X 14.947    1.317 11.35 0.000 S = 1.08653   R-Sq = 87.7%   R-Sq(adj) = 87.1% Analysis of Variance Source          DF      SS     ...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT