A manager wishes to find out whether there is a relationship between the number of radio ads aired per week and the amount of sales of a product. The data for the sample follows.
# of ads (x) | 2 | 5 | 8 | 8 | 10 | 12 |
Sales (y) | $2,000 | $4,000 | $7,000 | $6,000 | $9,000 | $10,000 |
If the equation of the regression line is y = a + bx, then the value for "a" is:
Round to whole number.
Solution:
n = 6
X | Y | XY | X^2 | Y^2 | |
2 | 2000 | 4000 | 4 | 4000000 | |
5 | 4000 | 20000 | 25 | 16000000 | |
8 | 7000 | 56000 | 64 | 49000000 | |
8 | 6000 | 48000 | 64 | 36000000 | |
10 | 9000 | 90000 | 100 | 81000000 | |
12 | 10000 | 120000 | 144 | 100000000 | |
SUM | 45 | 38000 | 338000 | 401 | 286000000 |
We know , for the line y = a + bx,
b denotes the slope of the line and a denotes the y intercept of the line
b = [6 * 286000000 - (45*38000)]/[6*401 - (452) ] = 834.6457
Now ,
a = [38000 - (834.6457 * 45)]/6 = 73.4908 = 73
Answer : Value for a = 73
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