The numbers below show salmon population’s decrease since 1960. salmon = {{0, 10.02}, {5, 10.00}, {10, 7.61}, {15, 3.15}, {20, 4.59}, {25, 3.11}, {30, 2.22}}; TableForm[salmon, TableHeadings → {None, {"Years (after 1960)", "Salmon (mil)"}}] Years (after 1960) Salmon (mil) 0 10.02 5 10. 10 7.61 15 3.15 20 4.59 25 3.11 30 2.22 Pair like (10,7.61) shows there were 7.61 million salmon in 1970. Why 1970? Because t (the number in the left column) is number of years after 1960. A pair like (10, 7.61) is called a data-point. Because it shows some data (information), and geometrically it is a point (it has two numbers). A row in our table gives us a data-point. S1. Plot the data = create a scattergram. S2. Show the graph of a line that comes close to the points in your scattegram. The line might also be known as Best fit line, Regression Line, or Least-squares regression line. S3. Find the equation of a linear function connecting S, salmon population (in millions), with t, years since 1960. It is OK to use y for the function (S) and x for the variable (t). S4. What is the slope of the dependence? S5. What does the slope in this problem mean in simple, non-mathematical terms?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

The numbers below show salmon population’s decrease since 1960. salmon = {{0, 10.02}, {5, 10.00}, {10, 7.61}, {15, 3.15}, {20, 4.59}, {25, 3.11}, {30, 2.22}}; TableForm[salmon, TableHeadings → {None, {"Years (after 1960)", "Salmon (mil)"}}] Years (after 1960) Salmon (mil) 0 10.02 5 10. 10 7.61 15 3.15 20 4.59 25 3.11 30 2.22 Pair like (10,7.61) shows there were 7.61 million salmon in 1970. Why 1970? Because t (the number in the left column) is number of years after 1960. A pair like (10, 7.61) is called a data-point. Because it shows some data (information), and geometrically it is a point (it has two numbers). A row in our table gives us a data-point. S1. Plot the data = create a scattergram.
S2. Show the graph of a line that comes close to the points in your scattegram.
The line might also be known as Best fit line, Regression Line, or Least-squares regression line.
S3. Find the equation of a linear function connecting S, salmon population (in millions), with t, years
since 1960.
It is OK to use y for the function (S) and x for the variable (t).
S4. What is the slope of the dependence?
S5. What does the slope in this problem mean in simple, non-mathematical terms? 

O Percenta x
Wo Exponen X
# Wolfram X
linear fit X
exponent X
VitalSour X
# [(355.4/2 x
Wo Percenta ×
Wo Assignm X
M Search re X
W Khamiya X
G how to fiu X
+
O wolframalpha.com/input/?i=linear+fit+%7B0%2C+10.02%7D%2C%7B5%2C+10%7D%2C%7B10%2C+7.61%7D%2C%7B15%2C+3.15%7D%2C%7B20%2C+4.59%7D%2C%7B25%2C+3.11%7D%2C%7B... *
a Your Memberships..
W GOLDEN APPLE SC.
O Chester Different N..
O Dorm Room Ideas.
5x5 Lace Closure W.
O Blush Geo Lattice C.
O Course materials
X The Challenge | Xfin.
A PaperCut MF : Web.
>>
data
{{0, 10.02}, {5, 10}, {10, 7.61},
fit
{15, 3.15}, {20, 4.59}, {25, 3.11}, {30, 2.22}}
LEVEL UP TO PRO
model
linear function
Least-squares best fit:
10.1214 – 0.287143 x
Fit diagnostics:
BIC
R2
adjusted R2
AIC
28.3923
28.23
0.858071
0.829685
Plot of the least-squares fit:
10
8
6
4
2
10
15
20
25
30
Q Enlarge
O Customize
Q WolframlAlpha Output Zoom
This website uses cookies to optimize your experience with our services on the site, as described in our Privacy Policy.
Accept & Close
O 2:48
Transcribed Image Text:O Percenta x Wo Exponen X # Wolfram X linear fit X exponent X VitalSour X # [(355.4/2 x Wo Percenta × Wo Assignm X M Search re X W Khamiya X G how to fiu X + O wolframalpha.com/input/?i=linear+fit+%7B0%2C+10.02%7D%2C%7B5%2C+10%7D%2C%7B10%2C+7.61%7D%2C%7B15%2C+3.15%7D%2C%7B20%2C+4.59%7D%2C%7B25%2C+3.11%7D%2C%7B... * a Your Memberships.. W GOLDEN APPLE SC. O Chester Different N.. O Dorm Room Ideas. 5x5 Lace Closure W. O Blush Geo Lattice C. O Course materials X The Challenge | Xfin. A PaperCut MF : Web. >> data {{0, 10.02}, {5, 10}, {10, 7.61}, fit {15, 3.15}, {20, 4.59}, {25, 3.11}, {30, 2.22}} LEVEL UP TO PRO model linear function Least-squares best fit: 10.1214 – 0.287143 x Fit diagnostics: BIC R2 adjusted R2 AIC 28.3923 28.23 0.858071 0.829685 Plot of the least-squares fit: 10 8 6 4 2 10 15 20 25 30 Q Enlarge O Customize Q WolframlAlpha Output Zoom This website uses cookies to optimize your experience with our services on the site, as described in our Privacy Policy. Accept & Close O 2:48
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Time Series Analyses, Forecasting Methods, and Indices
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman