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Couple's Income Bride's age Payor Wedding cost Attendance Value Rating $40,000 36 Bride's Parents $7,000.00 50 3 $43,000 19 Bride & Groom $30,000.00 250 3
Couple's Income | Bride's age | Payor | Wedding cost | Attendance | Value Rating |
$40,000 | 36 | Bride's Parents | $7,000.00 | 50 | 3 |
$43,000 | 19 | Bride & Groom | $30,000.00 | 250 | 3 |
$45,000 | 32 | Bride & Groom | $5,000.00 | 50 | 5 |
$52,000 | 23 | Bride's Parents | $19,000.00 | 200 | 1 |
$53,000 | 31 | Bride & Groom | $14,000.00 | 100 | 1 |
$55,000 | 28 | Bride's Parents | $16,000.00 | 100 | 5 |
$62,000 | 21 | Groom's Parents | $20,000.00 | 100 | 1 |
$62,000 | 34 | Bride's Parents | $13,000.00 | 150 | 1 |
$64,000 | 25 | Bride's Parents | $24,000.00 | 200 | 1 |
$64,000 | 22 | Bride's Parents | $18,000.00 | 150 | 1 |
$65,000 | 24 | Bride's Parents | $28,000.00 | 250 | 3 |
$67,000 | 27 | Groom's Parents | $22,000.00 | 200 | 5 |
$67,000 | 30 | Bride's Parents | $20,000.00 | 200 | 5 |
$72,000 | 21 | Bride & Groom | $42,000.00 | 200 | 5 |
$73,000 | 25 | Bride's Parents | $25,000.00 | 150 | 5 |
$75,000 | 27 | Bride & Groom | $24,000.00 | 200 | 5 |
$75,000 | 25 | Bride's Parents | $20,000.00 | 200 | 5 |
$75,000 | 19 | Bride's Parents | $19,000.00 | 150 | 3 |
$78,000 | 35 | Bride & Groom | $26,000.00 | 200 | 5 |
$86,000 | 25 | Bride's Parents | $34,000.00 | 250 | 3 |
$90,000 | 28 | Bride & Groom | $30,500.00 | 150 | 3 |
$98,000 | 27 | Bride & Groom | $47,000.00 | 150 | 3 |
$100,000 | 30 | Bride & Groom | $30,000.00 | 300 | 3 |
$130,000 | 22 | Bride's Parents | $60,700.00 | 300 | 3 |
$157,000 | 23 | Bride's Parents | $52,000.00 | 350 | 1 |
A wedding planner has gathered data from her last 25 wedding and would like to be able to easily predict for a couple how much their wedding might cost. Use the data in the attached file to develop a simple linear regression model to predict the Wedding Cost as the dependent variable (y) using the Couple's Income as the independent variable (x).
What is the regression equation?
Group of answer choices
y = 1905.69 + 130.12 x
y = 17408.22 - 765.56 x
y = 58259.68 - 1229.58 x
y = -5024.51 + 0.42 x
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