Question

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?

Homework Answers

Answer #1
Source df SS MS F
Regression 3 93 31 5.345
Error 30 174 5.8
Total 33 267

a)

There are three independent variables are included in the model.

b)

The null and alternative hypothesis

H1: At least one of are not the same.

c)

Level of significance = 0.01

Test statistic F = 5.345

Degrees of freedom are: 3, 30

Critical value = 4.510

( From f table)

Test statistic > critical value we reject the null hypothesis.

Conclusion: The multiple linear regression model significant.

d)

Data points are: 33+ 1 = 34

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
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?
Consider the following ANOVA table for a multiple regression model. Complete the table and answer the...
Consider the following ANOVA table for a multiple regression model. Complete the table and answer the parts below. Source / df / SS / MF / F Regression / 2 / ___ / ___ / ___ Residual / ___ / 8,100 / ___ Total / 47 / 15,300 / a. Complete the remaining entries in the table. b. What is the size of this​ sample? n=? c. How many independent variables are in this​ model? k=? d. Calculate the multiple...
Complete the ANOVA summary table below. In addition, answer the following questions for the ANOVA summary...
Complete the ANOVA summary table below. In addition, answer the following questions for the ANOVA summary table. a. What is the factorial notation? b. How many conditions were in the study? c. How many subjects were in the study? d. Identify significant main effects and interaction effects. Source   df SS MS F A 2 40 B 3 60 A x B 6 150 Error 72 Total 83 400
Use the information and general form of the ANOVA table for multiple regression from class or...
Use the information and general form of the ANOVA table for multiple regression from class or from page 613 of the book to complete the table, find the F-statistic, and find R2. Source DF SS MS F Model 4 70 Error Total 33 524 For question 17, what percentage of the variation in the response variable is explained by the explanatory variables? (report as %) What is the range for the p-value for question 17? >0.100 0.050 to 0.100 0.025...
The ANOVA summary table to the right is for a multiple regression model with six independent...
The ANOVA summary table to the right is for a multiple regression model with six independent variables. Complete parts​ (a) through​ (e). Source: Degrees of Freedom / Sum of Squares Regression 6 90 Error 14 170 Total 20 260 a. Determine the regression mean square​ (MSR) and the mean square error​ (MSE). MSR= ​ (Round to four decimal places as​ needed.) MSE=   (Round to four decimal places as​ needed.) b. Compute the overall F STAT test statistic. (Round to two...
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...
3. Refer to the following ANOVA Summary Table to answer the questions listed below it.                        ...
3. Refer to the following ANOVA Summary Table to answer the questions listed below it.                         SOURCE                       SS                df                    MS                F                         Between                      23.57             3                                                   .                         Within                                                 24                    .95                         Total                            46.43                                     Answer each of these questions concerning this ANOVA Summary Table: What is SS within?                                                                    Your Answer:                                  . What is MS between?                                                                 Your Answer:                                  . What is df total?                                                                       Your Answer:                                  . What is the observed...
Explain the difference between simple and multiple linear regression. A. Simple linear regression is faster B....
Explain the difference between simple and multiple linear regression. A. Simple linear regression is faster B. The difference is in how many independent variables used in the regression model C. There is no difference D. There is a difference in the linearity
Use the multiple regression output shown to answer the following questions. The regression equation is Y=9.40+0.332X⁢1+0.067X⁢2-0.251X⁢3...
Use the multiple regression output shown to answer the following questions. The regression equation is Y=9.40+0.332X⁢1+0.067X⁢2-0.251X⁢3 Predictor Coef SE Coef T P Constant 9.395 6.858 1.37 0.184 X⁢1 0.3316 0.8962 0.37 0.716 X⁢2 0.0666 -0.0520 -1.28 0.214 X⁢3 -0.2508 -0.1036 2.42 0.025 S=4.84768 R-Sq=15.0% R-Sq(adj)=2.8% Analysis of Variance Source DF SS MS F P Regression 3 86.8 28.93 1.23 0.322 Residual Error 21 493.5 23.5 Total 24 580.3 a) Which variable might we try eliminating first to possibly improve this...
Complete the following ANOVA summary table for a model, where there are four levels of factor...
Complete the following ANOVA summary table for a model, where there are four levels of factor A selected at random and three levels of factor B selected at random. Each cell of the design includes 20 students (α = .05). Also, in statistical language (symbols) what is the most appropriate null and alternative hypothesis for each factor (effect) for the model? Source SS DF MS F CriticalValue Decision η2 ω2 A 12 B 22 AB Within 114 Total 172
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT