Bob is a statistics textbook author and aspiring photographer who sells his 13" x 19" prints on consignment at a local store. To improve his inventory management, Bob would like to develop a model to predict the number of prints he will sell in a week. The accompanying table provides the following data from a random selection of summer weeks over the past few years: the number of prints sold per week, the price of the prints during the week, the number of prints in inventory at the start of the week, and the season (in-season or off-season). Complete parts a through j below. Click the icon to view the data for the art sales. B. Price (X) C. Inventory (X2) Complete the regression equation for the final model. Note that the coefficient is 0 for any variable that was removed. ŷ=+(x+(x2+()x3 (Type integers or decimals rounded to four decimal places as needed.)
Bob is a statistics textbook author and aspiring photographer who sells his 13" x 19" prints on consignment at a local store. To improve his inventory management, Bob would like to develop a model to predict the number of prints he will sell in a week. The accompanying table provides the following data from a random selection of summer weeks over the past few years: the number of prints sold per week, the price of the prints during the week, the number of prints in inventory at the start of the week, and the season (in-season or off-season). Complete parts a through j below. Click the icon to view the data for the art sales. B. Price (X) C. Inventory (X2) Complete the regression equation for the final model. Note that the coefficient is 0 for any variable that was removed. ŷ=+(x+(x2+()x3 (Type integers or decimals rounded to four decimal places as needed.)
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter9: Solving Quadratic Functions
Section: Chapter Questions
Problem 4CA
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please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly
Transcribed Image Text:Bob is a statistics textbook author and aspiring photographer who sells his 13" x 19" prints on consignment at a local store. To improve
his inventory management, Bob would like to develop a model to predict the number of prints he will sell in a week. The accompanying
table provides the following data from a random selection of summer weeks over the past few years: the number of prints sold
per week, the price of the prints during the week, the number of prints in inventory at the start of the week, and the season (in-season
or off-season). Complete parts a through j below.
Click the icon to view the data for the art sales.
B. Price (X)
C. Inventory (X2)
Complete the regression equation for the final model. Note that the coefficient is 0 for any variable that was removed.
ŷ=+(x+(x2+()x3
(Type integers or decimals rounded to four decimal places as needed.)
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