relationship between Price and Weight of Bike
For Entry Level BMX Race Bikes, Is there a relationship between Price and Weight of Bike? (hint: looking for relationship, no Year Manufacturer and Model
2015 SE Ripper
2014 Redline MX 20
2015 SE PK Ripper Elite
2015 Grenade Launch Pro X
2015 SE PK Ripper Elite XL
2015 Grenade M1
2015 Framed Team
2014 Redline MX 20
2014 Framed Team
2014 Grenade MX
2014 Grenade Stealth Deep Sea Blue
2014 Grenade Flare X
2014 Grenade Launch Blue
2014 Grenade Launch X
2014 Framed Verdict Blank
2014 SE PK Ripper Elite
2013 Redline Proline Pro
2012 Redline Proline Pro XL
2013 Redline Proline Expert XL
2013 Redline MX 20 Price
$299
$462
$549
$180
$549
$240
$180
$431
$360
$230
$270
$150
$170
$160
$159
$500
$560
$560
$499
$379 Bike Weight (pound)
22.4
21
21
26
21.1
26
26.4
21
25.2
26
25
26.8
25.2
27
25.4
20.7
21.9
22.5
20.1
23 hint: looking for relationship, not cause/effect) Ex 2: Create a regression model to predict the price of a used Camry based on mileage. Fill out the regression stats below
Coefficient of Correlation = r =
Used Toyota Camry Data
Coefficient of Determination = r^2 =
Miles on Camry (x)
Price for Used Camry (y)
Slope = m = b1 =
22,820
$14,053
28,339
38,341
45,308
65,752
75,982
75,268
86,385
92,549
100,524
111,416
25,038
59,686
67,392
69,929
88,167
12,238
62,116
111,693 $13,766
$14,697
$19,090
$14,157
$11,111
$13,138
$12,381
$10,458
$7,313
$6,106
$11,667
$11,298
$14,010
$13,523
$10,905
$17,683
$11,900
$6,748 Intercept = b = b0 =
x
F(43520) = t the regression stats below and predict what your car with 43520 miles will sell for. Create a plot with the formula.
Strength and Direction
"Goodness of fit for our line"
For every one unit of x, how much does y move
The value of the equation when x = 0
43520 h the formula. Build a multiple regression model which predicts movie box office receipts
based on production cost, promotion cost, and book sales
(all costs are in $M)
Which variables will you keep in your model?
Box Office Receipts
Yr 1
Production Cost
Promotion Cost
Book Sales
85.1
8.5
5.1
106.3
12.9
5.8
50.2
5.2
2.1
130.6
10.7
8.4
54.8
3.1
2.9
30.3
3.5
1.2
79.4
9.2
3.7
91.0
9.0
7.6
135.4
15.1
7.7
89.3
10.2
4.5 4.7
8.8
15.1
12.2
10.6
3.5
9.7
5.9
20.8
7.9
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Posted 20 Aug 2017 04:08 PM
My Price 10.00
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