No, we do not have have enough evidenceat 0.01 level of significance to conclude that the linear relstionship between the independent variables and dependent variablesis statistically significant. because 0.000777 is less than 0.01 i.e. F significace is less than 0.01 level of significance.
Anova question please help! Based on the ANOVA table given, is there enough evidence at the...
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df SS MS F Significance F Regression 33 334.126370334.126370 111.375457111.375457 0.7082900.708290 0.5813510.581351 Residual 66 943.473630943.473630 157.245605157.245605 Total 99 1277.6000001277.600000 Yes or No?
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df Regression 2 1520.519603 760.259801 8.137791 0.005843 Residual12 1121.080397 93.423366 MS F Significance F Total 14 2641.600000 Copy Data Ne ev Keypad Tables MacBook Ai 44 F FS F6
Based on the ANOVA table given, is there enough evidence at the 0.050.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df SS MS F Significance F Regression 3 334.126370 111.375457 0.708290 0.5813510 Residual 6 943.473630 157.245605 Total 9 1277.600000 question: YES OR NO????
Please help with these two problems question o 01:18:34 Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df MS F Significance F Regression 3 523.231895 174.410632 1.603117 0.284674 Residual6 652.768105 108.794684 Total 9 91176 Copy Data Keypad ■Tables Answer 2 Points OYes O No Next Prev 01:17:56 The following data was collected to...
INDEPENDENT OR DEPENDENT ARE IN THE DROP DOWN BOXES. Degrees of Sum of The ANOVA summary table to the right is for a multiple regression model with two independent variables. Complete parts (a) through (e) Source Freedom Squares Regression Eror Total 15 17 70 160 230 Draw a conclusion. Choose the correct answer below o A. There is insufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is less than...
The following data was collected to explore how the average number of hours a student studies per night and the student's PA affect their ACT score. The dependent variable is the ACT score, the first independent variable (ri) is the number of hours spent studying and the second independent variable (x2) is the student's GPA Effects on ACT Scores Study Hours GPA ACT Score 24 21 19 17 Copy Data Step 1 of 2: Find the p-value for the regression...
Question 1 of 9. Step 2 of 2 1/16 Correct The following data was collected to explore how a students age and GPA affect the number of parking tickets they receive in a given year The dependent variable is the number of parking sekets. the first independent variable in is the students age, and the second Independent variable() is the student's GPA Effects on Number of Parking Tickets GPA Number of Tickets Copy Data Step 2 of 2: Determine if...
Question 4 ·Of 11 Step 2 of 2 01:33:18 The following data was collected to explore how the average number of hours a score. The dependent variable is the ACT score, the first independent variable (xi )is the number of hours spent studying,and the second student studies per night and the student's GPA affect their ACT variable (x2) is the student's GPA Effects on ACT Scores Study Hours GPA ACT Score Copy Data Next level of significance. If the relationship...
The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) through (e). Source Degrees of Freedom Sum of Squares Regression 5 270 Error 28 110 Total 33 380 a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. FSTAT=_______________________ (Round to four decimal places as needed.) c. Determine whether there is a significant relationship between Y and the two independent...
Question 15 (3 points) The owner of a small bookstore wants to analyze the relationship between the price of books and the number of pages of each book. The independent variable is the number of pages and the dependent variable is the price (in $s). After collecting the data, the owner generated the following regression analysis summary: SUMMARY OUTPUT Regression Stotistics 0.750271004 Multiple R 0.562906579 R Square Adjusted R Square 0.475487895 Standard Error 0980514871 Observations ANOVA 0.052048358 Regression 1 6.191972373...