The Regression Below Predicts the Daily Number of Skiers Who $F$

question 12

Essay

The regression below predicts the daily number of skiers who visit a small ski resort based on three explanatory variables.
The data is a random sample of 30 days from the past two ski seasons. The variables are: SKIERS the number of skiers who visit the resort on that day
SNOW the number of inches of snow on the ground
TEMP the high temperature for the day in degrees $F$ .
WEEKDAY an indicator variable, weekday $= 1$ , weekend $= 0$
Dependent variable is Skiers
R squared $= 25.4 \% \quad \mathrm { R }$ squared (adjusted) $= 16.8 \%$
$s = 125.1$ with $30 - 4 = 26$ degrees of freedom



$\begin{array}{lrrrr}\text { Variable } & \text { Coefficient } & \text { SE(Coeff) } & \text { t-ratio } & \text { p-value } \\\text { Constant } & 559.869 & 76.78 & 7.29 & <0.0001 \\\text { Snow } & 1.424 & 2.70 & 0.53 & 0.6019 \\\text { Temp } & -1.604 & 2.77 & -0.58 & 0.5677 \\\text { Weekend } & 147.349 & 51.86 & 2.84 & 0.0086\end{array}$



-If you think that the temperature might affect attendance differently on weekends than on
weekdays, how would you change the regression to test this?

Grasp the key findings and implications of Solomon Asch's experiments on conformity.

Comprehend Stanley Milgram's research on obedience and its significance in understanding authority's role in shaping behavior.

Understand the effects of normative social influence on behavior and decision-making.

Recognize the factors that contribute to conformity and how individual and group norms influence personal actions.

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