The data displayed by the bar graph can be described by the mathematical model Percentage of College Freshmen with an Average Grade of A (A- to A+) in High School 4x p= + 29 where x is the number of years after 1980 and p is the percentage of college freshmen in a certain area who 5 70- had an average grade of A in high school. Use this information to answer parts (a) and (b) below. 56% 59% 60- 50 43% 40- 3 29% 30% 30- 8 20- 10- 1980 1990 2000 2010 20O13 Year a. According to the formula, in 2010, what percentage of college freshmen had an average grade of A in high school? Does this underestimate or overestimate the percent displayed by the bar graph? By how much? According to the formula, % of college freshmen had an average grade of A in high school. The model V the actual value by % (Simplify your answer.) b. If trends shown by the formula continue, project when 61% of college freshmen will have had an average grade of A in high school. The year predicted is. (Type a whole number.)
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![**Description and Analysis of College Freshmen Academic Performance**
The data displayed in the given bar graph can be described by the mathematical model:
\[ p = \frac{4x}{5} + 29 \]
where \( x \) is the number of years after 1980 and \( p \) is the percentage of college freshmen in a certain area who had an average grade of A in high school. Use this information to answer parts (a) and (b) below.
**Bar Graph Explanation:**
The bar graph is titled "Percentage of College Freshmen with an Average Grade of A (A- to A+) in High School." It displays data for the years 1980, 1990, 2000, 2010, and 2013.
- 1980: 29%
- 1990: 30%
- 2000: 43%
- 2010: 56%
- 2013: 59%
**Questions and Calculations:**
**a. According to the formula, in 2010, what percentage of college freshmen had an average grade of A in high school? Does this underestimate or overestimate the percent displayed by the bar graph? By how much?**
According to the formula:
\[ p = \frac{4x}{5} + 29 \]
For the year 2010, \( x = 2010 - 1980 = 30 \).
Substitute \( x \) into the formula:
\[ p = \frac{4(30)}{5} + 29 = \frac{120}{5} + 29 = 24 + 29 = 53 \]
According to the formula, **53%** of college freshmen had an average grade of A in high school in 2010. The bar graph shows 56%.
Compare the model's prediction with the actual value:
\[ \text{Difference} = 56 - 53 = 3 \]
The model **underestimates** the actual value by **3%**.
**b. If trends shown by the formula continue, project when 61% of college freshmen will have had an average grade of A in high school.**
We need to find the year when \( p = 61 \):
\[ 61 = \frac{4x}{5} + 29 \]
Isolate \( x \):
\[ 61 - 29 = \frac{](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7f07c76b-37f9-44fb-a83a-7b9326898976%2F29ebc217-1ee8-4f87-afaf-005723d5c71e%2F3jo7d0b_processed.png&w=3840&q=75)
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