Solution-Huyen runs a regression with 4 explanatory

Huyen runs a regression with 4 explanatory variables

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Reference no: EM132399886

1. Huyen runs a regression with 4 explanatory variables (excluding the intercept) and 10 observations. Her R2 is 0.9. What's her adjusted R2?

2. Casey works for a shipping company and she's in charge of hiring. The company keeps track of a lot of information and Casey wants to be able to predict how long, in hours, it would take for a driver to complete a typical route (TIME). She runs a regression using the driver's high school GPA (GPA), the number of accidents they've been in in the past decade (ACCIDENTS), and a dummy variable of if they smoke (SMOKE?) with 1 being a smoker and 0 being a non-smoker. Suppose all variables are statistically significant and the result is this:

TIME = 9.8 - 0.9*(GPA) + 0.67*(ACCIDENTS) + 0.25*(SMOKE?)

How long would it probably take for a non-smoker with 2 past accidents and a 3.6 GPA to complete the route? For each additional accident the driver's been involved in, how many minutes does that add or subtract from their time to completion?

Reference no: EM132399886

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Huyen runs a regression with 4 explanatory variables

Reference no: EM132399886

Reference no: EM132399886

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