part 2 Exhibit 1 A study was conducted to investigate browsing activity by shopp
ID: 3219379 • Letter: P
Question
part 2
Exhibit 1 A study was conducted to investigate browsing activity by shoppers. Shoppers were classified as nonbrowsers, light browsers, and heavy browsers. For each shopper in the study, a measure was obtained to determine how comfortable the shopper was in the store. Higher scores indicated greater comfort. Below you are given the Minitab output based on 24 observations to test for differences in comfort levels among the three types of browsers at the 5% level Regression Analysis: score versus type Heavy Browser, type Light Browser Analysis of variance Source DF Adj SS Adj MS FValue P-value Regression 4.00 0.034 2 9.333 4.667 Error 21 24.500 1.167 23 33.833 Total Model Summary S R-sq R-sq (adj) R-sq (pred) 1.08012 27.598 20.698 5.428 Coefficients Coef SE Coef Pvalue P value Term 4.250 00.382 11.13 0.000 Constant type Heavy Browser 1.500 0.540 2.78 0.011 type Light Browser 1.000 0.540 1.85 0.078 Regression Equation score 4.25 1.500 type Heavy Browser 1.000 type Light Browser (3p) Refer to Exhibit 1. Because browser type is a categorical variable with three levels (nonbrowser, light browser, heavy browser), we will need dummy variables to represent the browsers type. b, 2 d. 4Explanation / Answer
2.
Answer in detail with explanations:
a.
You need 2 dummy variables.
Answer is b.
You can create dummy flags 1 or 0 for light and heavy browsers. If both are 0 then it is non browser
b.
Answer is option b.
Ha: b1=b2=0
Ho: Atleast one of the parameters is not zero
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