MULTIPLE CHOICE
1. You want to investigate if sales tends to differ depending on the amount of advertisement?
A. Test for all slopes in a Multiple Regression model
B. Test for Means comparing 2 groups
C. Tukey-Kramer Procedure for Means
2. You are using Advertisement and Price Coefficients and you feel it has an effect on Sales?
A. Correlation
B. Adjusted R-Squared
C. R-Squared
3. In regression, you want to make sure that the confidence intervals and p-values that you obtain are accurate.
A. Assumption of Independence
B. Assumption of Normality
C. Assumption of Fit (Linearity)
1.
Test for comparing means for two groups can be the case here. One group with no advertisements and others with advertisements.
Option B is the right answer.
2.
To see the effect of advertisement and price coefficient on sales, we can create a linear regression model and can calculate R-squared.
It tells us how much variation in sales is due to the advertisement.
Option C is the right answer.
3.
To make sure that confidence interval and p-value are accurate, we need to see the assumption of fit(linearity) here.
Option C is the right answer.
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