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An ice cream vendor would like to predict daily sales of ice cream

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An ice cream vendor would like to predict daily sales of ice cream An ice cream vendor would like to predict daily sales of ice cream cones based on the temperature outdoors. Data for a random sample of 8 days are provided in the table below. Temperature (OC) Daily Sales {Litres) (x) (y) 6 1358 5012 12516 10018 20022 15028 25028 175 The regression line with “daily sales” as the dependent variable and “temperature”as the independent variable has been calculated as:yhat = 55.217 5.38597x You may use the following sums of squares and cross products for the questionsbelow. Σx=138 Σy=1185 SSxx=495.5 SSyy=26446.875 SSxy=2668.75 a) Using the regression line and sums of squares and cross products provided above, construct a 90% prediction interval for daily sales when the outside temperature is 24 degrees Celsius.  


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