Drop down options are durability, impact properties, shock absorbing capabilities, the two independent variables.
a) As p-value = 0.00002 < 0.05, we reject the null hypothesis.
Answer D : Reject Ho. There is sufficient evidence of a significant linear relationship.
b) Answer B
c) Coefficient of determination , r2 =
The Coefficient of multiple determination indicates that 61.80% of the variation in durability can be explained by the variation in the two independent variables.
d) Adjusted r2=
Drop down options are durability, impact properties, shock absorbing capabilities, the two independent variables. A regression...
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...
A multiple linear regression model based on a sample of 30 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 24672.31and the SSE is 32019.36. Complete parts (a) through (d) below. a. Determine whether there is a significant relationship between standby hours and the two independent variables (total staff present and remote hours) at the 0.05 level of significance. What are the correct hypotheses to test? H0:________________ H1: ________________ Calculate...
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...
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...
Income +0.5 Need a. Specify the dependent and independent variables. b. What will be the demand when income is 0 and need isl tribution cusl regardless of the an 24 months (stored tion costs (in $tho ber of orders rece a. State the mult b. Interpret the APPLYING THE CONCEPTS 14.3 A shoe manufacturer is considering developing a new b brand of running shoes. The business problem facing the marketing analyst is to determine which variables should be used to...
*ANSWERS IN BOX ARE INCORRECT* Consider the following ANOVA table for a multiple regression model. Complete parts a through e below. Source Regression 3 3,600 1200 20 Residual 35 2,100 60 Total df SSMSF 38 5,700 a. What is the size of this sample? n41 b. How many independent variables are in this model? c. Calculate the multiple coefficient of determination. R0.5882 Round to four decimal places as needed.) d. Test the significance of the overall regression model using α=0.05...
Consider the following hypothesis statement using α-0.10 and the follo ing data from two independent sam les. Complete arts a and belov. x2 39 2120 Ho: P1-P2 20 x1-58 1-175 Click here to view page 1 of the standard normal table a. Calculate the appropriate test statistic and interpret the result. What is the test statistic? (Round to two decimal places as needed.) What is/are the critical value(s)? Round to two decimal places as needed. Use a comma to separate...
You may need to use the appropriate technology to answer this question. Consider the following data for a dependent variable y and two independent variables, x, and x, V X1 y 30 92 12 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 16 210 The estimated regression equation for these data is -18.74 2.01x, 4.73x Here, SST 15,229.6, SSR 14,077.25 0.2495, and 0.9575. (a)...
Consider the following hypothesis statement using α= 0.10 and the following data from two independent samples. Complete parts a and b below. X1 = 66 Ho P1-p2 20 x2 = 70 n2 = 130 H: P-P20 n1 = 125 Click here to view page 1 of the standard normal table Click here to view page 2 of the standard normal table. a. Calculate the appropriate test statistic and interpret the result. What is the test statistic? (Round to two decimal...
Consider the following hypothesis statement using 0.10 and the following data from two independent samples. Complete parts a and b below Ho P-P20 x 67 x2 72 H pi P20 n 150 n2 180 Click of the st ormal table, Click here to view page 2 of the standard normal table. a. Calculate thee appropriate test statistic and interpret the result What is the test statistic? Round to two decimal places as needed.) What is/are the critical value(s)? (Round to...