An Internet retailer would like to investigate the relationship Time Order Size

Question

An Internet retailer would like to investigate the relationship Time Order Size Time Order Sizea between the amount of time in minutes a purchaser spends 18 on its Web site and the amount of money he or she spends 13 on an order. The table to the right shows the data froma 25 random sample of 12 customers. Construct a 90% confidence interval for the regression slope $60 $365 $126 $157 $79 $248 $67 $31 %95 36 24 38 $51 $34 16 Construct a 90% confidence interval for the slope LCL=-0.6161 and UCL | 8.039 Round to three decimal places as needed) The following table shows the hot dogs bought from a street vendor over the course of eight days ("Demand"). Also shown is the temperature for each day in degrees Celsius. Complete parts a and b below Temperature ("q | 18 | 12 | 21 | 16 | 8 | 14 | 20 | 19 | Demand 4532 36 3920 22 42 33 a. Calculate the slope and y-intercept for the linear regression equation for these data Round to two decimal places as needed.) The following table shows the hot dogs bought from a street vendor over the course of eight days ("Demand"). Also shown is the temperature for each day in degrees Celsius Temperature ("q | 19 | 9 | 24 | 18 | 6 | 12 | 20 | 22 | Demand 48313440 20 24034 A linear regression on the data gives the equation below. Complete parts a through d below Predicted Demand 17.69 0.98(Temperature) a. Calculate the SST SST = (Round to two decimal places as needed.)

Explanation / Answer

sOLUTION1:

For the data

regression eq is

y^=9.86+1.49(x)

Solution2:

predicted demand=17.69+0.98(temperature)

From anova table

SST=615.88

TEMPERATURE DEMAND 18 45 12 32 21 36 16 39 8 20 14 22 20 42 19 33

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