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The scatter plot shows the number of minutes people had to wait for service at a restaurant and the number of staff available at the time.

A line that models the data is given by the equation $, where $ represents the wait time, and represents the number of staff available.

The slope of the line is -1.62. What does this mean in this situation?
the time you have to wait per staff number.
Is a slope of 1.62 realistic in this context?
no because it is not a coordinate and there isn't any decimals in the wait time
The $-intercept is $. What does this mean in this situation?
it means there's more waiting time
Is a $-intercept of $ realistic in this context?
no because when you try to find it it goes off the graph and isnt calculable.

Respuesta :

MrRoyal

The slope of a linear regression is the rate of change of the line of the best fit

  • The interpretation of the slope is that the wait time per staff is 1.62 minutes
  • The slope value is realistic

The linear regression is given as:

y = -1.62x + 18

Where

  • y represents the wait time
  • x represents the number of staff

Using the above representations, the slope means that the wait time per staff is 1.62 minutes

Also, the slope value is realistic because time can be measured in decimals

Read more about linear regressions at:

brainly.com/question/25987747

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