Solution:
We are given
Level of significance = α = 0.05
From given regression output, we have P-have for the regression ANOVA is given as below:
P-value = 0.005843
P-value < α = 0.05
So, we reject the null hypothesis
There is sufficient evidence to conclude that the linear relationship between the independent variable and the dependent variable is statistically significant.
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance...
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 0.050.05 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????
Anova question please help!
Based on the ANOVA table given, is there enough evidence at the 0.01 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source a $S MSSignficance F Regression 2 880.261574 440.130787 41.335819 0000777 Residual 5 53.238426 10.647685 Significance F Total 7 933500000 Copy Data Answer 2 Points il Keypad mTables Prev Next O Yes O 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...
Significance level of 0.05, test whether the slope of the regression line is negative. The regression equation is, Y = 6.0 - 0.7x predictor coef stdev t-ratio constant 6.0 2.558 2.32 X -0.7 0.086 -8.28 ANOVA source df ss ms F regression 1 648.12 648.12 68.58 error 6 56.72 9.45 total 7 704.84
Given the following and a significance level of 0.05, test for a slope of zero. The regression equation is Y = 5.3 + 0.175 X Predictor Coef SE Coef T Constant 5.3218 0.1845 28.84 X +0.17499 0.01865 +9.38 Analysis of Variance Source DF SS MS F Regression 1 11.691 11.691 88.00 Error 10 1.329 0.133 Total 11 13.020
At a significance level of a = 0.05, is there enough evidence to
suggest that the variables are correlated? If YES, Predict the
Y-value for X = 45 and Predict the X-value for Y = 10.
X Y 74 45 72 12 y 0.5757x-1.1141 60 69 42 r 0.509963 50 65 50 40 62 42 30 58 40 57 30 20 55 33 10 50 35 47 26 0 20 40 60 80 45 15 38 15
Significance level of 0.05, test whether the slope of the regression line is negative. Form a 95% confidence interval on the slope of the line. The regression equation is, Y = 6.0 - 0.7x predictor coef stdev t-ratio constant 6.0 2.558 2.32 X -0.7 0.086 -8.28 ANOVA source df ss ms F regression 1 648.12 648.12 68.58 error 6 56.72 9.45 total 7 704.84
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...