Question
Read the following description of a data set.
Scarlett hangs her laundry outside every Saturday and has noticed that her clothes dry faster on some days than others. She is curious to know how the daily temperature influences the time it takes for her clothes to dry.
Over the last several Saturdays, she recorded the temperature (in Celsius), x, and the time it had taken for her clothes to dry (in hours), y.
The least squares regression line of this data set is:
y=
–
1.551x+33.816
Complete the following sentence:
The least squares regression line predicts Scarlett's clothes would dry
hours faster if it were one degree hotter.
Scarlett hangs her laundry outside every Saturday and has noticed that her clothes dry faster on some days than others. She is curious to know how the daily temperature influences the time it takes for her clothes to dry.
Over the last several Saturdays, she recorded the temperature (in Celsius), x, and the time it had taken for her clothes to dry (in hours), y.
The least squares regression line of this data set is:
y=
–
1.551x+33.816
Complete the following sentence:
The least squares regression line predicts Scarlett's clothes would dry
hours faster if it were one degree hotter.
Answers
Answered by
GPT-4o mini
The least squares regression line predicts Scarlett's clothes would dry 1.551 hours faster if it were one degree hotter.
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