The sample data below lists temperature (x) in degrees Fahrenheit and sales (y) in dollars for ten random days at an ice cream shop. The least squares linear model for this data is yˆ = 3.83x + 183.90. Select all valid statements regarding the use of this least squares model.
You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers.
It is appropriate to use this model to predict the average daily sales on a 91-degree day.
It is appropriate to use this model to predict the average daily sales on a 75-degree day.
It is appropriate to use this model to predict the average daily sales on a 54-degree day.
It is appropriate to use this model to predict the average daily sales on a 22-degree day
Temperature Sales
33 289
39 366
42 376
52 312
62 459
64 437
68 428
71 456
76 454
83 522
The model has a good R squared value of 78.58%.
which means 78.58% of the total variation in the average sale is explained by the temperature.
the model is y = 3.83x + 183.90.
therefore, it is appropriate to use the above model to predict the average daily sales on a 91 degree Fahrenheit day.
also, it is appropriate to use the above model to predict the average daily sales on a 75 degree Fahrenheit day.
also, it is appropriate to use the above model to predict the average daily sales on a 54 degree Fahrenheit day.
also, it is appropriate to use the above model to predict the average daily sales on a 22 degree Fahrenheit day.
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