Question
To model the price of a flat screen TV, a junior analyst at your firm compiled the retail prices and diagonal measurements of screens.A scatter
To model the price of a flat screen TV, a junior analyst at your firm compiled the retail prices and diagonal measurements of screens.A scatter plot of the data appears below along with a linear estimate of the relationship:
Your analyst confides, "The boss asked me to estimate the selling price for a 24 inch TV but I'm worried about my estimate. According to my calculations, we would have to payconsumers almost $1000 to take them off our hands. I double checked my data and the R2 of the regression was over 0.95 so I feel confident about the inputs but I'm confused about how to interpret the results they produce."
Coefficients | Standard Error | t Stat | P-value | |
Intercept | -3683.24 | 330.0987 | -11.158 | 2.45E-07 |
Diagonal Size | 114.7429 | 6.789886 | 16.89909 | 3.23E-09 |
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