X :- Weight
Y :- Highway
ΣX = 23035
ΣY = 214
ΣX * Y = 682860
ΣX2 = 78577675
ΣY2 = 6708
Option B is correct
r = -0.996
There is strong but negative correlation between variables
Yes, as the weight increases the highway mileage decreases.
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample...
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) 2880 33 3180 31 3375 29 3775 26 4265 24 2510 37 3265 30 Which scatterplot below shows the data? ОА. OB OC OD 40 40 d) 40 கு) Ap 20 2500 4500 WMO 2500 Weight...
The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (Ib) 3035 3075 3770 3965434526453630 25 way (m 31 27 23 36 28 Which scatterplot below shows the data? 2500 4500 2500 4500 2500 4500 2500 4500 Weight (lb) Weight (Ib) Weight (Ib) Weight (Ib)
Please use DataAnalysis A study was conducted to build a regression model to predict miles per gallon (MPG) of vehicles. To develop the model, you obtained MPG of 43 random vehicles. In addition, you collected the following information - Length: vehicle length (inches) - Width: vehicle width (inches) - Weight: vehicle weight (pounds) - Made in Japan: whether the car is manufactured in Japan or not a. Fit a multiple regression model using all four independent variables. For "made in...