Q1: Please use the data set to create a regression equation or a regression line that can reflect the relationship between wealth and level of education in CA counties. NOTES: You are required to: 1) clearly state what is the dependent variable (Y) and what is the independent variable (X); 2) correctly calculate the associated slope and intercept. Q2: Please predict the related median household income when there is 70% of population over 25 with BA degree and higher. Median Household Income ($) % of population over 25 with BA degree and higher 100,929 42.1 71,348 20.5 59,961 25.0 69,588 21.1 108,689 39.4 90,996 32.1 63,284 19.5 53,746 27.5 58,528 13.4 66,834 15.2 63,647 12.5 49,757 16.2 82,439 29.9 60,980 13.5 136,032 54.8 55,057 22.5 59,460 13.0 74,320 23.1 92,291 31.9 72,723 32.8 101,991 37.3 96,623 35.7 72,793 20.8 73,413 28.2 70,608 18.8 86,490 35.1 119,795 52.9 70,046 18.1 75,332 32.1 129,290 45.0 83,773 31.4 125,946 47.3 89,007 37.5 59,949 19.1 46,764 24.0 80,797 24.3 82,006 32.6 65,643 16.4 67,646 18.5 55,480 14.1 58,295 13.3 59,266 19.8 98,200 31.6 76,752 38.3 54,213 14.2

Q1: Please use the data set to create a regression equation or a regression line that can reflect the relationship between wealth and level of education in CA counties. NOTES: You are required to: 1) clearly state what is the dependent variable (Y) and what is the independent variable (X); 2) correctly calculate the associated slope and intercept. Q2: Please predict the related median household income when there is 70% of population over 25 with BA degree and higher. Median Household Income ($) % of population over 25 with BA degree and higher 100,929 42.1 71,348 20.5 59,961 25.0 69,588 21.1 108,689 39.4 90,996 32.1 63,284 19.5 53,746 27.5 58,528 13.4 66,834 15.2 63,647 12.5 49,757 16.2 82,439 29.9 60,980 13.5 136,032 54.8 55,057 22.5 59,460 13.0 74,320 23.1 92,291 31.9 72,723 32.8 101,991 37.3 96,623 35.7 72,793 20.8 73,413 28.2 70,608 18.8 86,490 35.1 119,795 52.9 70,046 18.1 75,332 32.1 129,290 45.0 83,773 31.4 125,946 47.3 89,007 37.5 59,949 19.1 46,764 24.0 80,797 24.3 82,006 32.6 65,643 16.4 67,646 18.5 55,480 14.1 58,295 13.3 59,266 19.8 98,200 31.6 76,752 38.3 54,213 14.2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Q1: Please use the data set to create a regression equation or a regression line that can reflect the relationship between wealth and level of education in CA counties.

NOTES: You are required to: 1) clearly state what is the dependent variable (Y) and what is the independent variable (X); 2) correctly calculate the associated slope and intercept.

Q2: Please predict the related median household income when there is 70% of population over 25 with BA degree and higher.

Median Household Income ($)	% of population over 25 with BA degree and higher
100,929	42.1
71,348	20.5
59,961	25.0
69,588	21.1
108,689	39.4
90,996	32.1
63,284	19.5
53,746	27.5
58,528	13.4
66,834	15.2
63,647	12.5
49,757	16.2
82,439	29.9
60,980	13.5
136,032	54.8
55,057	22.5
59,460	13.0
74,320	23.1
92,291	31.9
72,723	32.8
101,991	37.3
96,623	35.7
72,793	20.8
73,413	28.2
70,608	18.8
86,490	35.1
119,795	52.9
70,046	18.1
75,332	32.1
129,290	45.0
83,773	31.4
125,946	47.3
89,007	37.5
59,949	19.1
46,764	24.0
80,797	24.3
82,006	32.6
65,643	16.4
67,646	18.5
55,480	14.1
58,295	13.3
59,266	19.8
98,200	31.6
76,752	38.3
54,213	14.2

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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