Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 63 years. Is the result within 5 years of the actual Best Actor winner, whose age was 43 years? Best Actress 29 30 29 Best Actor 63 32 34 43 30 65 23 42 57 42 37 40 43 48 46 57 51 39 56 45 33 Find the equation of the regression line. (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.) |years old. The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 63 years is (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor vinner, whose age was 43 years? the predicted age is the actual winner's age.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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2- Hi wonderful Bartleby Team, I am struggling with this topic of statistics in general, Please provide answers and a short explanations. Thaks in advance.

The last part which is complete a sentence says:

(Yes / No) the predicted age is ( more than 5 years greater than / 5 years or less from / more than 5 years less than) the actual​ winner's age.

### Determining the Best Predicted Age of a Best Actor Winner

#### Objective:
To find the regression equation, letting the age of the Best Actress winner be the predictor (x variable). Using this equation, we will determine the best predicted age of the Best Actor winner when the Best Actress winner is 63 years old. We will also check if this prediction is within 5 years of an actual Best Actor winner who was 43 years old that year.

#### Data:
- **Best Actress Ages:** 29, 30, 29, 63, 32, 34, 43, 30, 54, 57
- **Best Actor Ages:** 42, 37, 40, 43, 48, 46, 57, 51, 39, 56, 35, 33

#### Steps:

1. **Find the equation of the regression line:**
   - Regression equation format: ŷ = b₀ + b₁x
   - Round the y-intercept to one decimal place as needed.
   - Round the slope to three decimal places as needed.

2. **Calculate the best predicted age of the Best Actor when the Best Actress is 63 years old:**
   - Round this predicted age to the nearest whole number.

3. **Check prediction accuracy:**
   - Determine if the prediction is within 5 years of the actual Best Actor winner's age of 43.
   
   - Options:
     - The predicted age is within 5 years of the actual winner's age.
     - The predicted age is not within 5 years of the actual winner's age.

This exercise involves statistical analysis to predict actor ages using a linear regression model. Please calculate accordingly.
Transcribed Image Text:### Determining the Best Predicted Age of a Best Actor Winner #### Objective: To find the regression equation, letting the age of the Best Actress winner be the predictor (x variable). Using this equation, we will determine the best predicted age of the Best Actor winner when the Best Actress winner is 63 years old. We will also check if this prediction is within 5 years of an actual Best Actor winner who was 43 years old that year. #### Data: - **Best Actress Ages:** 29, 30, 29, 63, 32, 34, 43, 30, 54, 57 - **Best Actor Ages:** 42, 37, 40, 43, 48, 46, 57, 51, 39, 56, 35, 33 #### Steps: 1. **Find the equation of the regression line:** - Regression equation format: ŷ = b₀ + b₁x - Round the y-intercept to one decimal place as needed. - Round the slope to three decimal places as needed. 2. **Calculate the best predicted age of the Best Actor when the Best Actress is 63 years old:** - Round this predicted age to the nearest whole number. 3. **Check prediction accuracy:** - Determine if the prediction is within 5 years of the actual Best Actor winner's age of 43. - Options: - The predicted age is within 5 years of the actual winner's age. - The predicted age is not within 5 years of the actual winner's age. This exercise involves statistical analysis to predict actor ages using a linear regression model. Please calculate accordingly.
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