The following data show the, curb weight, horsepower, and 1/4mile speed for 16 Sports Cars and GT cars. Suppose that the price of each sports cars and GT car is also available. The complete data set is as follows.

Sport & GT Car Price(1000's) Curb Weight(lbs) Horsepower Speed(MPH)

Acura Integra Type R 25.035 2577 195 90.7

Acura NXS-T 93.758 3066 290 108.0

BMW Z3 2.8 40.900 2844 189 93.2

Chevy Camaro Z28 24.865 3439 305 103.2

Chevy Corvette CVT 50.144 3246 345 102.1

Dodge Viper RT/10 69.742 3319 450 116.2

Ford Mustang GT 23.200 3227 225 91.7

Honda Prelude SH 26.382 3042 195 89.7

MercedesBenz CLK320 44.988 3240 215 93.0

MercedesBenz SLK230 42.762 3025 185 92.3

Mitsubishi3000GT VR4 47.518 3737 320 99.0

Nissan 240SX SE 25.066 2862 155 84.6

Pontiac Firebird 27.770 3455 305 103.2

Porsche Boxstar 45.560 2822 201 93.2

Toyota Super Turbo 40.989 3505 320 105.0

Volvo C70 41.120 3285 236 97.0

a. Find the estimated regression equation, which usese price and horsepower to predict the 1/4mile speed.

b. plot the standard residuals against ^y. Does the residual plot support the assumption about E? Explain

c. Check for any outliers. What are your conclusion?

d. Are there any influential observations? explain.

The highlighted parts in the document are the mathematical portions I don't understand.

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