Each month, the owner of a restaurant records y=monthly sales
receipts and x=amount spent that month on advertising, both in
thousands of dollars. For the first four months of operation, the
observations are as shown in the table.
Advertising Sales
0 4
1 7
3 9
5 11
a.Find the mean and standard deviation for each variable.
b.Find the values for a and b in the regression line.
c. Find the correlation coefficient. Interpret the relationship
between two variables using correlation coefficient.
n= | 4.0000 | |
X̅=ΣX/n | 2.250 | |
Y̅=ΣY/n | 7.750 | |
sx=(√(Σx2-(Σx)2/n)/(n-1))= | 2.2174 | |
sy=(√(Σy2-(Σy)2/n)/(n-1))= | 2.9861 | |
Cov=sxy=(ΣXY-(ΣXΣY)/n)/(n-1)= | 6.4167 | |
r=Cov/(Sx*Sy)= | 0.9691 |
a)
mean of advertisement =2.25
standard deviation of advertisement =2.2174
mean of Sales =7.75
standard deviation of Sales =2.9861
b)
slope= b = | r*Sy/Sx=1.3051 | ||
intercept= a = | (Σy-β1Σx)/n=4.8136 |
c)
correlation coefficient r=0.9691
since correlation coefficient is positive and near 1 , there apears a strong positive linear relation between advertisement and sales
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