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(a) Plot the total minutes of TV viewing time per household. (b) Describe the trend (if any) and discuss possible causes. (c) Fit a linear trend to the data. (d) Would this model give reasonable forecasts? Would another trend model be better? Explain. (e) Make a forecast for 2015. Show the forecast calculations. (f) Would these data ever approach an asymptote? Explain. Note: Time is in 5-year increments, so use t =14 for the 2015 forecast.

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a)\textbf{a)} By entering data for television viewing time into the appropriate software we get a graph where the horizontal axis represents the year and the vertical axis represent the total time in minutes for each household: 'slader'

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