HLT 362 V Statistics Module 5 Exercise 29 and 35 (90points)
EXERCISE 29 Calculating Simple Linear Regression 1. If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions by hand. What do the results indicate? The frequency distribution was not statistically significant as the Shapiro-Wilk p value was 0.357. Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. StudentAge .140 20 .200* .949 20 .357 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction 2. State the null hypothesis where age at enrollment is used to predict the time for completion of an RN to BSN program. A student’s age is not a predictor for completion of the RN to BSN progam 3. What is b as computed by hand (or using SPSS)? b= 0.047 Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 11.763 3.536 3.326 .004 StudentAge .047 .102 .108 .459 .651 4. What is a as computed by hand (or using SPSS)? a= 11.763 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 11.763 3.536 3.326 .004 StudentAge .047 .102 .108 .459 .651 a. Dependent Variable: MonthstoCompletion
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hlt 362 v statistics
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hlt 362v statistics
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hlt 362 v
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hlt 362v
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hlt 362v stat
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hlt 362 v statistics module 5 exercise 29 and 35
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hlt 362v statistics module 5 exercise 29 and 35
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hlt 362 v statistics module 5