Taltson Lake is in the Canadian Northwest Territories. his lake has many obtained by two fishermen visiting the lake. Let x = length of a fish in inches and let y = weight in pounds. %3D 46 41 15 24 36 (Unches) y (pounds) 20 7. 12 24 34. Find the following values. a. SSxy-355 b. SSx-491.2 c. r=0.9608 d slope=355/491.2=0.7227 e y-intercept=-12.1388 f. linear regression equation:y=-12.1388+0.7227 g. coefficient of determination=| h. The point that must be used to find the y intercept is: i. The y value when x is 25: j. Make a scatterplot of the data and insert the line of best fit along with its equation (don't forget titles/labels) k. calculate the predicted y values, residuals, make the residual plot (don't forget titles/labels), and interpret what the residual plot tells us:
Taltson Lake is in the Canadian Northwest Territories. his lake has many obtained by two fishermen visiting the lake. Let x = length of a fish in inches and let y = weight in pounds. %3D 46 41 15 24 36 (Unches) y (pounds) 20 7. 12 24 34. Find the following values. a. SSxy-355 b. SSx-491.2 c. r=0.9608 d slope=355/491.2=0.7227 e y-intercept=-12.1388 f. linear regression equation:y=-12.1388+0.7227 g. coefficient of determination=| h. The point that must be used to find the y intercept is: i. The y value when x is 25: j. Make a scatterplot of the data and insert the line of best fit along with its equation (don't forget titles/labels) k. calculate the predicted y values, residuals, make the residual plot (don't forget titles/labels), and interpret what the residual plot tells us:
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Taltson Lake is in the Canadian Northwest Territories. This lake has many fish. The following data was
obtained by two fishermen visiting the lake. Let x = length of a fish in inches and let
= weight in pounds.
46
x (inches)
Ey (pounds)
41
15
20
24
36
12
24
the document will
34. Find the following values.
a. SSxy=355
b. SSx=491.2
c. r-0.9608
d slope=355/491.2=0.7227
e y-intercept=-12.1388
f. linear regression equation:y=-12.1388+0.7227
9. coefficient of determination=|
h. The point that must be used to find the y intercept is:
i. The y value when x is 25:
j. Make a scatterplot of the data and insert the line of best fit along with its equation (don't forget titles/labels)
k. calculate the predicted y values, residuals, make the residual plot (don't forget titles/labels), and interpret what
the residual plot tells us:
ip
Expert Solution
Step 1
Given data,
The x variables is the length of fish and y variable is the weight of fish.
| X(inches) | Y(pounds) |
| 20 | 2 |
| 24 | 7 |
| 36 | 12 |
| 41 | 15 |
| 46 | 24 |
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