Suppose we the output for a multiple linear regression model predicting Customer Satisfaction rating based on time of day (Morning, Afternoon, Night) and wait time at registers. The output from the linear regression model is below
Variable Estimate of coefficient P-value
(intercept) 8 0.0000009
Wait time (minutes) -1.5 0.0000007
Morning 2 0.00004
Afternoon -0.5 0.003
1.What is the predicted customer satisfaction rating for individuals who spend 2 minutes in line in the Morning?
2. What is the predicted customer satisfaction rating for individuals who spend 2 minutes in line in the Night?
3,. If we graphed this model using Customer Satisfaction Score on the y-axis, Wait time on the x-axis. What would we see?
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a. One increasing trend line.
b. One decreasing trend line.
c. To increasing parallel trend lines: a trend line for Morning and for Afternoon, where the line for Morning is shifted higher than the line for Afternoon.
d. To decreasing parallel trend lines: a trend line for Morning and for Afternoon, where the line for Morning is shifted higher than the line for Afternoon.
e. Two non-parallel trend lines: the line for Morning is increasing and the line for Afternoon is decreasing.
f. Three parallel increasing trend lines. The line for Morning will be the highest, and the line for Afternoon will be the lowest.
g. Three parallel decreasing trend lines. The line for Morning will be the highest, and the line for Afternoon will be the lowest.
h. Three trend lines that are not parallel.