A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($/unit) charged by a sample of stores in a city in 39 weeks over a three-year period. The average Sales were 61,802 pounds (SD=10,070 pounds), and the correlation between Price and Sales was −0.535. If the Price in a particular week was two SD higher than the mean Price, how much pizza would you predict was sold that week?
cause Price in a particular week was two SD higher than the mean Price ; therefore zx =2
here z score for sales zy =r*zx =-0.535*2=-1.07
hence corresponding sales for the week =mean +z*std deviation =61802-1.07*10070=$51027.1
A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the...
2. In a model to predict weekly sales of soft drinks, your hypothesis is that the average temperature in the same week helps to predict sales. Your model is SALES, = α + 3TEM Pit ei, and you assume that each ei is an independent N(0, σ*) randon variable. You also assume that the average temperature in week i, TEMP, is non-random like to estimate. n, and that a and B are unknown parameters that you would (a) Find a...
Weekly data collected on a particular beverage brand used the price of beverage to predict the number of units sold. A simple linear regression model is given as y=2259-1418x. The ANOVA F test p-value=0.000, and r 2 = .597. Which is the best interpretation of the slope of the line Group of answer choices As the price increasess by 1 dollar, sales will increase on average by 2259 As the price increases by 1 dollar, sales will decrease, on average...
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(1 point) Data analysts were asked to build a model to predict box office receipts for major films produced by a certain movie production company. The production company was particularly interested in predicting sales during the second week of wide release. The analysts collected weekly sales numbers for 572 movies over the course of several years, and analyzed the data. They made the following statement: Our study found that the sales during the first week of wide release can be...
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Regression 1. A researcher is willing to investigate whether there is any linear relation bet ween income (x) in thousand dollars and food expenditures (y) in hundred dollars. A sample data on 7 households given the table below was collected. Assuming that a linear model is used to solve the problem. r-3-D) r-I 83 24 13 61 15 17 1. Write down the linear model 2. Write down the fitted regression line and Interpret the slope...