Consider the following sample data for the relationship between advertising budget and sales for Product A:
Observation | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
Advertising ($) | 30,000 | 30,000 | 40,000 | 50,000 | 50,000 | 50,000 | 60,000 | 70,000 | 80,000 | 80,000 |
Sales ($) | 179,000 | 183,000 | 253,000 | 308,000 | 301,000 | 308,000 | 376,000 | 418,000 | 486,000 | 499,000 |
What is the predicted sales quantity for an advertising budget of $57,000?
Please round your answer to the nearest integer.
X :- Advertising
Y :- Sales
ΣX = 540000
ΣY = 3311000
ΣX * Y = 197450000000
ΣX2 = 32200000000
ΣY2 = 1211165000000
Equation of regression line is Ŷ = a + bX
b = 6.137
a =( Σ Y - ( b * Σ X) ) / n
a =( 3311000 - ( 6.1368 * 540000 ) ) / 10
a = -289.474
Equation of regression line becomes Ŷ = -289.474 + 6.137
X
When X = 57000
Ŷ = -289.474 + 6.137 X
Ŷ = -289.474 + ( 6.137 * 57000 )
Ŷ = 349520
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