Answer parts...

a) find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable.

b) interpret the slope and y-intercept, if appropriate.

c) predict the well-being index of a person whose commute is 35 minutes.

d) suppose Barbara has a 15-minute commute and scores 68.4 on the survey. Is Barbara more "well-off" than the typical individual who has a 15-minute commute?

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step-by-step explanation:

the data of the detroit pistons in numerical order from least to greatest is 0.30, 0.37, 0.55, 0.62, 0.69, 0.72, 0.73, 0.75, 0.77, 0.78, 0.80, 0.81, 0.81, 0.83, 0.84, 0.89

the data of the miami heat in numerical order from least to greatest is 0.50, 0.50, 0.56, 0.57, 0.67, 0.72, 0.72, 0.72, 0.75, 0.75, 0.76, 0.81, 0.82, 0.90, 1.00, 1.00

the detroit pistons median : 1.52

the miami heat median: 1.47

the iqr of this data is 0.05

dalila is incorrect. the whisker on the left is very long, going all the way out to 5. the whisker goes from 5 to 30, so it has a spread of 25. the rest of the box plot values are closer together, so 5 is an outlier

step-by-step explanation:

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