Question
The data set is used to predict how level of education (% of population over 25 with BA degree and higher) affects wealth (median household
The data set is used to predict how level of education (% of population over 25 with BA degree and higher) affects wealth (median household income) in CA counties. Please answer the following questions.
Q1: Please use the data set to create a regression equation or a regression line that can predict how level of education affects wealth in CA countie. NOTES: You are required to: 1) clearly state what is the dependent variable (Y) (4 pts) and what is the independent variable (X) (); 2) correctly calculate the associated slope and intercept (8 pts); 3) finally write out the exact regression equation (4 pts).
Q2: Please predict the related median household income when there is 70% of population over 25 with BA degree and higher.
DATA BELOW
% of population over 25 with BA degree and higher | Median Household Income ($) |
42.1 | 100,929 |
20.5 | 71,348 |
25.0 | 59,961 |
21.1 | 69,588 |
39.4 | 108,689 |
32.1 | 90,996 |
19.5 | 63,284 |
27.5 | 53,746 |
13.4 | 58,528 |
15.2 | 66,834 |
12.5 | 63,647 |
16.2 | 49,757 |
29.9 | 82,439 |
13.5 | 60,980 |
54.8 | 136,032 |
22.5 | 55,057 |
13.0 | 59,460 |
23.1 | 74,320 |
31.9 | 92,291 |
32.8 | 72,723 |
37.3 | 101,991 |
35.7 | 96,623 |
20.8 | 72,793 |
28.2 | 73,413 |
18.8 | 70,608 |
35.1 | 86,490 |
52.9 | 119,795 |
18.1 | 70,046 |
32.1 | 75,332 |
45.0 | 129,290 |
31.4 | 83,773 |
47.3 | 125,946 |
37.5 | 89,007 |
19.1 | 59,949 |
24.0 | 46,764 |
24.3 | 80,797 |
32.6 | 82,006 |
16.4 | 65,643 |
18.5 | 67,646 |
14.1 | 55,480 |
13.3 | 58,295 |
19.8 | 59,266 |
31.6 | 98,200 |
38.3 | 76,752 |
14.2 | 54,213 |
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started