Download presentation
Presentation is loading. Please wait.
Published byElian Click Modified over 9 years ago
1
Homework 6 results
2
1.aY = 150X + 200 Y = 200 + 150X Six minutes of flight... Y = 150*6 + 200 Y = 1100
3
1.b. Car rental Y =.06X + 29 Y = 29 +.06X Rental for 200 miles... Y =.06 * 200 + 29 Y = $41.00
4
2.a. Net loss of $20. Loss of $40 for membership plus $20 savings on $100 spent.
5
2.b. SpendingSavings 0 0 10020 20040 30060 40080
6
2.c.: Must spend $200 for membership to be worthwhile.
7
2.d.: The function is linear because the change in Y is constant across all values of X. For every $100 spent, exactly $20 saved.
8
2.e. Amount spent = X Amount saved = Y Y =.2X - 40
9
3.a.Tobacco production
10
3.b.Predicted 2012 production, equation method Y = -.0606 * 2010 + 122.28 Y = 0.353 billion pounds
11
3.b. Predicted 2012 production, trendline extension method
12
3.c.Confidence in prediction
13
Pro: Strong R-squared Near-term forecast Con: Imperfections in fit to trendline Possible shift in trend in last four years
14
4.a. Percentage smokers
15
4.b.Prediction of percentage smoking in 2010, equation method Y = -.4397 * 2010 + 902.23 Y = 18.4%
16
4.b.Prediction of percentage smoking in 2010, trendline extension method
17
4.d.Prediction of percentage smokers in 1953 Y = -.4397 * 1953 + 902.23 Y = 43.5%
18
4.dConfidence in prediction
19
Pro: Strong fit, R-squared Con: Many years between 1953 and 1983, so many possible significant economic and social changes
20
4.e.Prediction when 100 percent smokers 100 = -.4397 * X + 902.23 100-902.23 = -.4397 * X -802.23/-.4397 = X 1824 = X
21
5.aMain point of article Projections of the percentage of the population who will be obese in 40 years is quite dubious if not totally bogus.
22
5.b Relevance to linear models It makes exactly the same point about projections far into the future as we considered with regard to the number of motor vehicles and consumption of coal
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.