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Pop-Up Coffee Vendors Have Been Popular in the City of Adelaide

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Pop-up coffee vendors have been popular in the city of Adelaide in 2013. A vendor is interested in knowing how temperature (in degrees Celsius) and number of different pastries and biscuits offered to customers impacts daily hot coffee sales revenue (in $00's).
A random sample of 6 days was taken, with the daily hot coffee sales revenue and the corresponding temperature and number of different pastries and biscuits offered on that day, noted.
Excel output for a multiple linear regression is given below:  Coffee sales revenue  Temperature  Pastries/biscuits 6.52571017135.53054.53563.540328915\begin{array} { | c | c | r | } \hline \text { Coffee sales revenue } & \text { Temperature } & \text { Pastries/biscuits } \\\hline 6.5 & 25 & 7 \\\hline 10 & 17 & 13 \\\hline 5.5 & 30 & 5 \\\hline 4.5 & 35 & 6 \\\hline 3.5 & 40 & 3 \\\hline 28 & 9 & 15 \\\hline\end{array}  Pop-up coffee vendors have been popular in the city of Adelaide in 2013. A vendor is interested in knowing how temperature (in degrees Celsius) and number of different pastries and biscuits offered to customers impacts daily hot coffee sales revenue (in $00's). A random sample of 6 days was taken, with the daily hot coffee sales revenue and the corresponding temperature and number of different pastries and biscuits offered on that day, noted. Excel output for a multiple linear regression is given below:  \begin{array} { | c | c | r | }  \hline \text { Coffee sales revenue } & \text { Temperature } & \text { Pastries/biscuits } \\ \hline 6.5 & 25 & 7 \\ \hline 10 & 17 & 13 \\ \hline 5.5 & 30 & 5 \\ \hline 4.5 & 35 & 6 \\ \hline 3.5 & 40 & 3 \\ \hline 28 & 9 & 15 \\ \hline \end{array}    Test the significance of the overall regression model, at α of 5%. Test the significance of the overall regression model, at α of 5%.

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Ho: β1 = β2 = 0
HA: β1 ≠ 0 and/or ...

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