Pop-up coffee vendors have been popular in the city of Adelaide in 2013. A Pop-up coffee 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 6.5105.54.53.528 Temperature 25173035409 Pastries/biscuits 71356315 SUMMARY OUTPUT Regression Statistios Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Temperature Pastries/biscuits 0.870.750.595.956.00df2.003.005.00 Coeffients 18.68−0.500.49SS322.14106.20428.33 Standard Error 37.880.832.02MS161.0735.40 tStat 0.49−0.600.24F4.55 P-value 0.660.590.82 Significance F0.12 Lower 95%−101.88−3.15−5.94 Upper 95%139.242.156.92 a. Write down the multiple regression model.
b. Interpret the coefficient of Temperature.
c. Interpret the coefficient of Pastries/biscuits.
Title
Legal ownership of property, especially real estate or automobiles.
Oral Contracts
Agreements that are made verbally and are legally binding, though harder to prove than written contracts.
Written Confirmation
A document that records and verifies specific details of an agreement or transaction between two or more parties.
Merchant
An individual or company engaged in the wholesale purchase and retail sale of goods for profit.