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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 hits a player would have to do to have 35 home runs.

A) About 4 hits
B) 223 hits
C) About 243 hits
D) 175 hits

The following linear equation represents the line of best fit for the following scatter-example-1
User Maulrus
by
7.9k points

2 Answers

3 votes

Answer:

C) About 243 hits

Explanation:

User Pishameni
by
7.7k points
9 votes

Answer:

C) About 243 hits

General Formulas and Concepts:

Pre-Algebra

Order of Operations: BPEMDAS

  1. Brackets
  2. Parenthesis
  3. Exponents
  4. Multiplication
  5. Division
  6. Addition
  7. Subtraction
  • Left to Right

Equality Properties

  • Multiplication Property of Equality
  • Division Property of Equality
  • Addition Property of Equality
  • Subtract Property of Equality

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.

home runs = y = 35

Step 2: Solve for x hits

  1. Substitute [BLF]: 35 = 0.15x - 1.5
  2. Add 1.5 on both sides: 36.5 = 0.15x
  3. Divide 0.15 on both sides: 243.333 = x
  4. Rewrite: x = 243.333

Remember that this is a prediction. According to the best line of fit, we would need approximately ~243 to get 35 home runs.

User Almer
by
8.6k points

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