HW 2 - Francis Roman 5.5 a. It has a positive association...

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Francis Roman 5.5 a. It has a positive association because as the pulse before marching goes up, so does the pulse after marching. b. I believe the pattern of this plot is more linear than curvilinear. Using a straight line to describe this plot would be more exact. There is no real curve. c. I don’t believe there are any OBVIOUS outliers in this plot. 5.7 a. The speed of the car is the explanatory variable and the response variable is the distance it takes to stop after applying brakes. b. speed distance 70 60 50 40 30 20 10 0 400 300 200 100 0 Scatterplot of distance vs speed 5.13 a. The slope is -1.01. As the latitude of the city increases the mean average temperature for the city decreases because the slope is negative. And vice versa. b. y=113.6-1.01(32) Temperature=81.3 degrees c. San Francisco mean temperature is 75.2 degrees. Prediction error 64-75.2=-11.2 d. We can’t use this equation for 0 latitude because the slope will have no affect on the mean average temperature. If we did use the equation, the y intercept would be the temperature at 113.6 degrees.
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This note was uploaded on 04/03/2008 for the course STAT 200 taught by Professor Barroso,joaor during the Fall '08 term at Pennsylvania State University, University Park.

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HW 2 - Francis Roman 5.5 a. It has a positive association...

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