Pr2 Simple Linear Regression.
The owner of a chain of ice cream store would like to study
the effect of atmosperic temperature on sales during the summer season.
A sample of 24 consecutive days is selected, with the results stored in the table below
Sales, in thousand of $	Temperature, in degrees
1.52	63
1.68	70
1.8	73
2.05	75
2.68	88
2.25	82
2.68	85
2.9	88
3.5	95
3.06	91
3.24	92
1.92	75
3.4	98
3.28	100
3.17	92
2.83	87
2.31	82
2.86	88
2.26	80
2.14	82
1.98	76
1.89	74
2.1	75
2.71	85
a) Construct a scatter diagram
b) Using Data Analysis/Regression, find the regression coefficients b0 and b1.
c) Graph the regression line on the scatter diagram
d) Interpret the meaning of b0 and b1 in this problem.
e) Predict the sales per store for a day in which the temperature is 83F.
f) determine the coefficient of determination and interpret its meaning.
(short way from the data analysy SS columns)
g) Graph the residuals in this model and determine
if the linear model is appropriate.
h) At the 0.05 level of significance, is there evidence
of a linear relationship between sales and temperature?
(based on t-test, p-value, and confidence interval for the slope)