C is for cabbage - A researcher wants to know if the head weight of the cabbage is agood predictor for ascorbic acid (vitamin C) content. From a random sample of 60cabbages, the researcher recorded the ascorbic acid content in milligrams and theweight of the cabbage head in pounds.Head weight is the X variable and Ascorbic acid content is the Y variable in thisscenario.R outputCoefficients:EstimateStd. Errort value(Intercept) 77.574HeadWeight -7.567Pr(>ltl)< 2e-16 ***9.75e-09 ***3.09625.0521.131-6.689---Residual standard error: 7.668 on 58 degrees of freedomMultiple R-squared: 0.4355, Adjusted R-squared: 0.4257F-statistic: 44.74 on 1 and 58 DF, p-value: 9.753e-09The equation of the estimated regression linewritten asBlank #1Blank #2 + Blank #3 X.%3DMatch what goes in the Blank #1, Blank #2 and Blank #3 in the equation above.1. 77.5742. 3.0963. 25.052 Blank #14. -7.567Blank #25. 1.1316. -6.689Blank #37. ŷ8. y9. y>>

From the output, the value of intercept is 77.574.

C is for cabbage ~ A researcher wants to know if the head weight of the cabbage is a good predictor for ascorbic acid (vitamin C) content. From a random sample of 60 cabbages, the researcher recorded the ascorbic acid content in milligrams and the weight of the cabbage head in pounds. Head weight is the X variable and Ascorbic acid content is the Y variable in this scenario. R output Coefficients: t value Pr(>ltl) < 2e-16 *** 9.75e-09 *** Estimate Std. Error (Intercept) 77.574 HeadWeight 3.096 25.052 -7.567 1.131 -6.689 --- Residual standard error: 7.668 on 58 degrees of freedom Multiple R-squared: 0.4355, Adjusted R-squared: 0.4257 F-statistic: 44.74 on 1 and 58 DF, p-value: 9.753e-09 The equation of the estimated regression line is written as Blank #1 = Blank #2 + Blank #3 X. Match what goes in the Blank #1, Blank #2 and Blank #3 in the equation above. 1. 77.574 2. 3.096 3. 25.052

C is for cabbage ~ A researcher wants to know if the head weight of the cabbage is a good predictor for ascorbic acid (vitamin C) content. From a random sample of 60 cabbages, the researcher recorded the ascorbic acid content in milligrams and the weight of the cabbage head in pounds. Head weight is the X variable and Ascorbic acid content is the Y variable in this scenario. R output Coefficients: t value Pr(>ltl) < 2e-16 * 9.75e-09 * Estimate Std. Error (Intercept) 77.574 HeadWeight 3.096 25.052 -7.567 1.131 -6.689 --- Residual standard error: 7.668 on 58 degrees of freedom Multiple R-squared: 0.4355, Adjusted R-squared: 0.4257 F-statistic: 44.74 on 1 and 58 DF, p-value: 9.753e-09 The equation of the estimated regression line is written as Blank #1 = Blank #2 + Blank #3 X. Match what goes in the Blank #1, Blank #2 and Blank #3 in the equation above. 1. 77.574 2. 3.096 3. 25.052

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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