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Simple Linear Regression model

Emissions data for a sample of different vehicles are given for HC (hydrocarbon) and CO (corbon monoxide), which are both measured in grams per meter.

HC

0.65

0.55

0.72

0.83

0.57

0.51

0.43

0.37

CO

14.7

12.3

14.6

15.1

5.0

4.1

3.8

4.1

a. build a scatter diagram of the data.

b. analyse the linear correlation coefficient r, and the slope and y-intercept of the regression line. Sketch the graph of the regression line on the same plot as the scatter diagram above.

c. Find out the best predicted value of CO given that the HC amount is 0.75 g/m.

Applied Statistics, Statistics

  • Category:- Applied Statistics
  • Reference No.:- M920105

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