You work for a company in the marketing department. manager nas with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion,'so you decide to run a regression the company's sales history. If 10 months are sampled and the regression output is given below, what can we conclude about the slope of time? Predictor Coef Stdev t-ratio Constant 485.023 34.5274 14.05 <0.0001 20.765 7.5455 2.75 0.025 time S - 56.651 R-sq = 48.63% R-sq (adj) = 42.21% Analysis of Variance SOURCE DF SS MS F. Regression 24306.4 24306.4 7.57 0.025 Error 25674.9 3209.4 Total 49981.4

You work for a company in the marketing department. manager nas with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion,'so you decide to run a regression the company's sales history. If 10 months are sampled and the regression output is given below, what can we conclude about the slope of time? Predictor Coef Stdev t-ratio Constant 485.023 34.5274 14.05 <0.0001 20.765 7.5455 2.75 0.025 time S - 56.651 R-sq = 48.63% R-sq (adj) = 42.21% Analysis of Variance SOURCE DF SS MS F. Regression 24306.4 24306.4 7.57 0.025 Error 25674.9 3209.4 Total 49981.4

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 4GP

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