Width (cm) Weight (kg) 7.2 150 7.9 100 9.8 245 9.4 200 8.8 210 8.4 175 7.1 100 6.0 125 9.0 160 8.4 175 Find the coefficient of determination. Round to 3 decimal places. What percent of weight is explained by camera width?Write the regression equation. Round to the nearest whole number. Use the regression equation to predict the weight of a harbor seal with a camera width of 6.9 cm. Round to the nearest Kg.
Width (cm) Weight (kg) 7.2 150 7.9 100 9.8 245 9.4 200 8.8 210 8.4 175 7.1 100 6.0 125 9.0 160 8.4 175 Find the coefficient of determination. Round to 3 decimal places. What percent of weight is explained by camera width?Write the regression equation. Round to the nearest whole number. Use the regression equation to predict the weight of a harbor seal with a camera width of 6.9 cm. Round to the nearest Kg.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Width (cm) |
Weight (kg) |
---|---|
7.2 | 150 |
7.9 | 100 |
9.8 | 245 |
9.4 | 200 |
8.8 | 210 |
8.4 | 175 |
7.1 | 100 |
6.0 | 125 |
9.0 | 160 |
8.4 | 175 |
- Find the coefficient of determination. Round to 3 decimal places.
- What percent of weight is explained by camera width?Write the regression equation. Round to the nearest whole number.
- Use the regression equation to predict the weight of a harbor seal with a camera width of 6.9 cm. Round to the nearest Kg.

Transcribed Image Text:The image is a graph with the horizontal axis labeled "Width (cm)" and the vertical axis labeled "Weight (Kg)". The graph's scales range from 5 to 10 cm on the width axis and 75 to 225 kg on the weight axis. The graph appears to be set up for plotting data points but currently does not contain any plotted lines or points.
The background includes a grid to assist with accurately plotting data. Each axis is marked with intervals indicating measurements in the respective units. This type of graph could be used to show the relationship between the width and weight of an object, though specific data is not included here.
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