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Reporting Statistics: Practicing Writing the Results Section Purpose To provide students an opportunity to practice writing the Results section of their research paper. Tasks 1.
Reporting Statistics: Practicing Writing the Results Section Purpose To provide students an opportunity to practice writing the Results section of their research paper. Tasks 1. Please post an original post by summarizing the following table (descriptive statistics) and excel readout (inferential statistics): (DUE Thursday, October 28th) Part 1: Descriptive Statistics Summary A team of researchers polled varsity football players how many older siblings they have. The table summarizes the results. In paragraph form, summarize the Descriptive results and include sample size, center (mean, median, and mode), of your data and the spread (range and standard deviation) of your data. Statistics Number of Older Siblings N Valid 46 Missing 0 Mean 1.26 Median 1.00 Mode 0 Sid. Deviation 1.255 Variance 1.575 Skewness .678 Std. Error of Skewness 350 Kurtosis -.543 Sid. Error of Kurtosis .688 Range 4 Percentiles 25 .00 50 1.00 75 2.00Part II: Inferential Statistics Summary. A team of researchers wanted to see if there was a relationship between the number of items that a person ordered and the frequency (number of days since their last order) of their reorder. Identify the independent variable (IV) and the dependent variable (DV). In paragraph form, summarize the Inferential results below. Please include the y-intercept (a), regression coefficient or slope (B), p-value, r and R2. SUMMARY OUTPUT Regression Statistics Multiple R 0.79 R Square 0.63 Adjusted R Square 0.62 Standard Error 3.49 Observations 150 ANOVA df SS MS F Significance F Regression 2 3009.08 1504.54 123.69 0.00 Residual 147 1788.01 Excel output Total 149 4797.09 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1.909 0.695 2.746 0.007 0.535 3.283 products 0.547 0.036 15.385 0.000 0.477 0.617 days_since_prior_order -0.078 0.027 -2.949 0.004 -0.131 -0.026 The above regression output from Excel summarizes the following model using grocery delivery app user data: Reorders, = Bo + B1 . Products, + B2 . Days, where Reorders, is the number of reordered items per order. Products, is the number of ordered products per order. Days, is the number of days since the last order. Please answer the following questions based on the provided information in the Excel result. b. (5 pts) What is the marginal effect of the number of ordered products per order on reorders
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