People who love to drive fast cars frequently compare the ho

People who love to drive fast cars frequently compare the horsepower of a cars engine to the maximum torque force produced by the engine. Some say horsepower is more important to acceleration, while others say the power of torque turns the wheels, so it is more important to acceleration. A simple measure of acceleration is the time it takes an automobile to go from a standing start to 60 miles per hour. Using the data from the file automobiles decide if you think horsepower or torque affects acceleration more.

Do you calculations in Excel and include a statement supporting your conclusion

Please provide excel sheet with formulations.

Horse Power Torque 0 to 60 mph
Dodge Stratus ES 168 170 9.4
Ford Taurus SE 200 200 8.7
Cherolet Malibu LS 155 185 8.8
Ford Contour GL 125 130 11.9
Honda Accord LX 150 152 9.4
Mazda 626 LX 125 127 11.4
Nissan Altima GXE 150 154 9.8
Oldsmobile Cutlass GLS 150 180 8.5
Toyota Camry LE 133 147 11
BMW 328i 193 206 7.8
Saab 9-5 200 229 7.9
Cadillac Catera 200 192 9.3
Acura TL 225 216 7.9
Volvo S-80 268 280 7.3
Chevrolet S-10 175 240 9.2
Dodge Dakota 175 225 11.2
Ford Ranger 158 223 8.8
Nissan Frontier 143 154 10.7
Toyota Tacoma 190 220 9.2
Chevrolet Silverado LT 270 315 8.8
Dodge Ram Sport 230 300 9.9
GMC Sierra SLT 255 285 9.9
Ford F150 Lariat 260 345 8.4
Acura NSX 290 224 4.5
BMW 540i sport 282 310 5.5
Chevrolet Camaro Z28 SS 320 345 4.9
Chevrolet Corvette 345 350 4.7
Dodge Viper GTS 450 490 3.9
Jaguar XJR 370 387 5
Porsche 911 Carrera 296 258 4.8

Solution

We use regression analysis to do it.

Ho: Horse Power is not significant (i.e. null hypothesis)

Ha: Horse Power is significant. (i.e. alternative hypothesis)

Assume that the significant level a=0.05

Since the p-value is less than 0.05, we reject Ho.

So we can conclude that Horse Power is significant.

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Ho: Torque is not significant (i.e. null hypothesis)

Ha: Torque is significant. (i.e. alternative hypothesis)

Assume that the significant level a=0.05

Since the p-value is less than 0.05, we reject Ho.

So we can conclude that Torque is significant.

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Regression output confidence interval
variables coefficients std. error    t (df=27) p-value 95% lower 95% upper
Intercept 13.2781 0.5986 22.180 7.28E-19 12.0498 14.5064
Horse Power -0.0407 0.0068 -6.001 2.11E-06 -0.0547 -0.0268
Torque 0.0167 0.0064 2.616 .0144 0.0036 0.0299
People who love to drive fast cars frequently compare the horsepower of a cars engine to the maximum torque force produced by the engine. Some say horsepower is
People who love to drive fast cars frequently compare the horsepower of a cars engine to the maximum torque force produced by the engine. Some say horsepower is

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