A store owner gathered data for several days about the methods customers used to pay for their purchases. The scatter plot shows the data she gathered and the line of best fit. The equation of the line of best fit is y = 0.755x + 11.339. Based on the line of best fit, approximately how many customers are predicted to use a card to pay on a day when 90 customers pay by cash? A.) 68 B.) 79 C.) 92 D.) 104

A store owner gathered data for several days about the methods customers used to pay for their purchases The scatter plot shows the data she gathered and the li class=

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Answer:

b.79

Step-by-step explanation:

if you look at the graph it shows its right below 80

The 79 customers are predicted to use a card to pay on a day when 90 customers pay by cash option (B) is correct.

What is the line of best fit?

A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.

[tex]\rm m = \dfrac{n\sum xy-\sum x \sum y}{n\sum x^2 - (\sum x)^2}\\\\\\\\\rm c = \dfrac{\sum y -m \sum x}{n}[/tex]

We have a line of best fits:

y = 0.755x + 11.339

Plug x = 90

y =0.755(90) + 11.339

y = 67.95 + 11.339

y = 79.28 ≈ 79

Thus, the 79 customers are predicted to use a card to pay on a day when 90 customers pay by cash option (B) is correct.

Learn more about the line of best fit here:

brainly.com/question/14279419

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