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vehicle weight highway mpg SUMMARY OUT 4057 25 vehicle weight Residual Plot 160 21 Regression Statistic 3567 29 Multiple R 0.9613444252 6041 12 R Square
vehicle weight highway mpg SUMMARY OUT 4057 25 vehicle weight Residual Plot 160 21 Regression Statistic 3567 29 Multiple R 0.9613444252 6041 12 R Square 0.9241831038 4523 19 Adjusted R Squa 0.920886717 3777 26 Standard Error 1.738654233 2469 34 Observations 25 3428 28 3306 26 ANOVA vehicle weight Line Fit Plot $470 28 SS MS F Significance F 3509 26 Regression 847.5128735 847.5128735 280.3624581 10 5423 14 Residual 23 69.5271265 3.022918544 2822 29 Tota 24 917.04 3648 24 4968 20 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 4365 25 Intercept 48.63040915 1.495269381 32.52284156 45.53720878 51.72360951 2 4275 23 vehicle weight -0.00604048649: 0.000360754691 -16.74402754 0 -0.00678676442 -0.00529420855 highway mpg 3699 26 3186 32 10 4628 21 215 22 RESIDUAL OUTPUT 4616 21 3000 4000 5000 6000 3088 29 Observation dicted highway n Residuals 36 24.12415545 0.8758445515 vehicle weight 2700 6400 11 2 20.84417128 0.1558287168 w 27.08399383 1.91600617 12.13983025 -0.1398302478 21.30928874 -2.309288743 6 25.81549167 0.1845083337 33.716448 0.2835520017 8 27.92362145 0.07637854784 28.6605608 -2.660560804 10 27.66992102 0.3300789805 11 27.43434205 -1.434342046 12 15.8728509 -1.8728509 31.58415627 -2.584156266 26.59471442 -2.594714424 18.62127225 1.378727746 22.26368561 2.736314391 17 22.80732939 0.1926706068 18 26.28664961 -0.2866496127 19 29.38541918 2.614580817 20 20.67503766 0.3249623386 23.16975858 -1.169758583 20.7475235 0.2524765007 29.97738686 -0.9773868595 24 32.32109562 3.678904381 25 9.971295597 1.028704403
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