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A multiple linear regression model based on a sample of 18 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 23106.27 and the SSE is 37914.09 . We are the F-statistic to be - 4.57 and p.0282 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? Họ H, Consider whether the following is TRUE or FALSE Since the p-value is less than the lovel of significance, we should reject the null hypothesis. There is sufficient statistical evidence to conclude there is a linear relationship. O True O False b, Interpret the meaning of the p-value. Choose the correct answer below. OA The p-value is the probability that there is a linear relationship betwoen the dependent variable and at least one of the independent variables. OB. The p-value is the probability of getting an overall test statistic equal to or greater than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OC. The p-value is the probability of getting an overall test statistic equal to or less than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OD. The p-value is the probability that there is a linear relationship between the two independent variables.

A multiple linear regression model based on a sample of 18 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 23106.27 and the SSE is 37914.09 . We are the F-statistic to be - 4.57 and p.0282 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? Họ H, Consider whether the following is TRUE or FALSE Since the p-value is less than the lovel of significance, we should reject the null hypothesis. There is sufficient statistical evidence to conclude there is a linear relationship. O True O False b, Interpret the meaning of the p-value. Choose the correct answer below. OA The p-value is the probability that there is a linear relationship betwoen the dependent variable and at least one of the independent variables. OB. The p-value is the probability of getting an overall test statistic equal to or greater than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OC. The p-value is the probability of getting an overall test statistic equal to or less than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OD. The p-value is the probability that there is a linear relationship between the two independent variables.

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter2: Exponential, Logarithmic, And Trigonometric Functions
Section2.CR: Chapter 2 Review
Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...
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A multiple linear regression model based on a sample of 18 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 23106.27 and the SSE is 37914.09. We are the F-statistic to be = 4.57 and p=.0282 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? Ho H,: Consider whether the following is TRUE or FALSE Since the p-value is less than the level of significance, we should reject the null hypothesis. There is sufficient statistical evidence conclude there is a linear relationship. O True O False b. Interpret the meaning of the p-value. Choose the correct answer below. O A. The p-value is the probability that there is a linear relationship between the dependent variable and at least one of the independent variables. OB. The p-value is the probability of getting an overall test statistic equal to or greater than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OC. The p-value is the probability of getting an overall test statistic equal to or less than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OD. The p-value is the probability that there is a linear relationship between the two independent variables.
Transcribed Image Text:A multiple linear regression model based on a sample of 18 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 23106.27 and the SSE is 37914.09. We are the F-statistic to be = 4.57 and p=.0282 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? Ho H,: Consider whether the following is TRUE or FALSE Since the p-value is less than the level of significance, we should reject the null hypothesis. There is sufficient statistical evidence conclude there is a linear relationship. O True O False b. Interpret the meaning of the p-value. Choose the correct answer below. O A. The p-value is the probability that there is a linear relationship between the dependent variable and at least one of the independent variables. OB. The p-value is the probability of getting an overall test statistic equal to or greater than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OC. The p-value is the probability of getting an overall test statistic equal to or less than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. OD. The p-value is the probability that there is a linear relationship between the two independent variables.
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