The following linear equation represents the line of best fit for the following scatter plot y=0.15x-1.5

Use the equation to answer the following questions. Predict the amount of home runs a player would have if they hit 200 times.

A) 25 home runs
B) 1,366 home runs
C) 28.5 home runs
D) 30 home runs

C) 28.5 home runs

General Formulas and Concepts:

Pre-Algebra

Order of Operations: BPEMDAS

Equality Properties

Step-by-step explanation:

Step 1: Define

y = home runs

x = hits

[Best Line of Fit] y = 0.15x - 1.5

We can use this to predict the average of the scatter plot.

hits = x = 200 times

Step 2: Solve for y home runs

Remember that this is only a prediction. Actual data can vary. The best line of fit tells us that if a player hits 200 times, we would get approximately 28.5 home runs.

Step-by-step explanation:

If we are given the equation to this graph, we need to substitute a value in to get the output of the function.

Since the question is asking us how many home runs a player will earn if they hit 200 times, and we know that the x value is the number of hits, we can substitute 200 into the equation as x and find the value of y.

Therefore, 28.5 home runs would be scored with 200 hits.

Hope this helped!

a

step-by-step explanation: