A regression equation is constructed in order to predict the potassium content of a breakfast cereal based on its fiber content. The equation is: Predicted potassium content = 38 + 27 (fiber content). In this equation, we call the number 38 a(n) __________________ and the number 27 a(n) _____________________. Group of answer choices explanatory variable; response variable intercept; slope parameter; statistic response variable; explanatory variable slope; intercept
A regression equation is constructed in order to predict the potassium content of a breakfast cereal based on its fiber content. The equation is: Predicted potassium content = 38 + 27 (fiber content). In this equation, we call the number 38 a(n) __________________ and the number 27 a(n) _____________________. Group of answer choices explanatory variable; response variable intercept; slope parameter; statistic response variable; explanatory variable slope; intercept
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 14PPS
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A regression equation is constructed in order to predict the potassium content of a breakfast cereal based on its fiber content. The equation is: Predicted potassium content = 38 + 27 (fiber content). In this equation, we call the number 38 a(n) __________________ and the number 27 a(n) _____________________.
Group of answer choices
explanatory variable; response variable
intercept; slope
parameter; statistic
response variable; explanatory variable
slope; intercept
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