Statistics Multiple R 0865 R Square 0748 Adjusted R Square 0726 Standard Error

# Statistics multiple r 0865 r square 0748 adjusted r

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Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square 0.726 Standard Error 5.195 Observations 50 ANOVA df SS MS F Signif F Regression 3605.7736 901.4434 0.0001 Residual 1214.2264 26.9828 Total 49 4820.0000 Coeff StdError t Stat P- value Intercept - 1.6335 5.8078 -0.281 0.7798 Income 0.4485 0.1137 3.9545 0.0003 Size 4.2615 0.8062 5.286 0.0001
School - 0.6517 0.4319 -1.509 0.1383 Referring to Table 14-4, one individual in the sample had an annual income of \$10,000, a family size of 1, and an education of 8 years. This individual owned a home with an area of 1,000 square feet (House = 10.00). What is the residual (in hundreds of square feet) for this data point? Selected Answer: a. 8.10 Question 48 2 out of 2 points If the p value is less than α in a two -tailed test, Selected Answer: b. the null hypothesis should be rejected. Question 49 0 out of 2 points The sample correlation coefficient between X and Y is 0.375. It has been found out that the p -value is 0.256 when testing H 0 : ρ = 0 against the two-sided alternative H 1 : ρ ≠ 0. To test H 0 : ρ = 0 against the one -sided alternative H 1 : ρ > 0 at a significance level of 0.193, the p -value is Selected Answer: d. 1 - 0.256/2 Question 50 2 out of 2 points In testing for differences between the means of 2 independent populations, the null hypothesis is: Selected Answer: b. H 0 : μ1 - μ2 = 0.

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• Fall '15
• Statistics, Final Paper For 1 To 5, Statistical hypothesis testing, average time