Consider the saying, "Build it and they will come." This notable saying from a movie may very well apply to shop- ping malls. Just be sure when you build that there is room for not only the mall but also for those that will come- and thus include enough space for parking. Consider the random sample of major malls in Irvine, California.

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Chapter1: Starting With Matlab
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Consider the saying, "Build it and they will come." This
notable saying from a movie may very well apply to shop-
ping malls. Just be sure when you build that there is room
for not only the mall but also for those that will come-
and thus include enough space for parking. Consider
the random sample of major malls in Irvine, California.
Parking Spaces Number of Stores
65
43
Square Feet
270,987
258,761
1,600,350
210,743
880,000
2,700,000
3128
1500
8572
793
7100
15,000
120
59
95
300
Draw a scatter diagram with "parking spaces" as
the dependent variable, y, and "square feet" as the
independent variable, x. (Suggestion: Use 1000s of
square feet.)
Draw a scatter diagram with "parking spaces" as the
dependent variable, y, and "number of stores" as the
independent variable, x.
Draw a scatter diagram with "number of stores" as
the dependent variable, y, and "square feet" as the
predictor variable, x.
Which relationship shows the strongest linear relationship? Draw the line of
best fit for each of the plots.
Transcribed Image Text:Consider the saying, "Build it and they will come." This notable saying from a movie may very well apply to shop- ping malls. Just be sure when you build that there is room for not only the mall but also for those that will come- and thus include enough space for parking. Consider the random sample of major malls in Irvine, California. Parking Spaces Number of Stores 65 43 Square Feet 270,987 258,761 1,600,350 210,743 880,000 2,700,000 3128 1500 8572 793 7100 15,000 120 59 95 300 Draw a scatter diagram with "parking spaces" as the dependent variable, y, and "square feet" as the independent variable, x. (Suggestion: Use 1000s of square feet.) Draw a scatter diagram with "parking spaces" as the dependent variable, y, and "number of stores" as the independent variable, x. Draw a scatter diagram with "number of stores" as the dependent variable, y, and "square feet" as the predictor variable, x. Which relationship shows the strongest linear relationship? Draw the line of best fit for each of the plots.
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