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a. Predict the number of lift tickets soldduring Christmas week, the total snowfall was 25 inches and the average temperature was 35 degrees Fahrenheit. (Round

a. Predict the number of lift tickets soldduring Christmas week, the total snowfall was 25 inches and the average temperature was 35 degrees Fahrenheit.(Round answerto a whole number.)

b. Interpret theSnowfallslope coefficient.

The

(Click to select)

estimate of

change in

(Click to select)

number of lift tickets sold

total snowfall

average temperature

when

(Click to select)

the number of lift tickets sold

total snowfall

average temperature

(Click to select)

decreases by

increases by

is equal to

(Click to select)

ticket

inch

degree Fahrenheit

, while holding the

(Click to select)

number of lift tickets sold

total snowfall

the average temperature

constant.

c. Enter the standard deviation of the difference between the actual number of tickets sold and the estimate of the number of tickets sold.(Round answerto a whole number.)

tickets

d. Calculate and interpret the adjusted coefficient of determination.(Round numericalanswerto a whole percentage.)

% of the

(Click to select)

variation in total snowfall

number of lift tickets sold

variation in the number of lift tickets sold

total snowfall

average temperature

variation in average temperature

(Click to select)

is explained by

explains

the

(Click to select)

total snowfall and average temperature

number of lift tickets sold and total snowfall

number of lift tickets sold and average temperature

, when

(Click to select)

adjusting

not adjusting

for the number of predictors.

image text in transcribed
A manager at a ski resort in Vermont wanted to determine the effect that weather had on its sales of lift tickets. The manager oft resort collected data over the last 20 years on the number of lift tickets sold during Christmas week ()2), the total snowfalls in incl" (x1), and the average temperature in degrees Fahrenheit ()9). The following model is estimated: Safes = 50 +,61 Snowfall + #2 Temperature + E A portion ofthe regression results is shown in the accompanying table. as (n (n 5:: u: Regression 32,516 42,539 75,055 Standard Error 903.? 31.57 19.7 d \\1 Residual Total Coeidents 8,308 74.59 8.75 Intercept Snowfall Temperature

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