The following data represent a sample of a day's water consumption and the high temperature for that day. A. Develop a least squares regression line to predict the amount of water used in a day in a city by the high temperature for that day. B. Evaluate the regression model by calculating sẹ , by calculating r2, and by testing the slope. Let a = 0.01. (You are not allowed to use Regression Module in Excel) (Do not round the intermediate values. Round your answers to 6 decimal places, e.g. 1.758932.) Water Use (millions of liters) Temperature (degrees Celsius) 829 40 212 4 404 488 26 257 11 697 36 566 32 424 24 25

The following data represent a sample of a day's water consumption and the high temperature for that day. A. Develop a least squares regression line to predict the amount of water used in a day in a city by the high temperature for that day. B. Evaluate the regression model by calculating sẹ , by calculating r2, and by testing the slope. Let a = 0.01. (You are not allowed to use Regression Module in Excel) (Do not round the intermediate values. Round your answers to 6 decimal places, e.g. 1.758932.) Water Use (millions of liters) Temperature (degrees Celsius) 829 40 212 4 404 488 26 257 11 697 36 566 32 424 24 25

Nutrition Through The Life Cycle

7th Edition

ISBN:9781337919333

Author:Brown, Judith E.

Publisher:Brown, Judith E.

Chapter4: Nutrition During Pregnancy

Section: Chapter Questions

Problem 25RQ

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