Find the regression​ equation, letting overhead width be the predictor​ (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.8 cm. Can the prediction be​ correct? What is wrong with predicting the weight in this​ case? Use a significance level of 0.05.   a. The regression equation is Modifying Above y with caret equals   plus      x. ​(Round to one decimal place as​ needed.)   b. The best predicted weight for an overhead width of 1.8 cm is   ​(Round to one decimal place as​ needed.)

MATLAB: An Introduction with Applications
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Find the regression​ equation, letting overhead width be the predictor​ (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.8 cm. Can the prediction be​ correct? What is wrong with predicting the weight in this​ case? Use a significance level of 0.05.

 

a. The regression equation is

Modifying Above y with caret equals   plus      x.
​(Round to one decimal place as​ needed.)
 
b. The best predicted weight for an overhead width of
1.8 cm is
 
​(Round to one decimal place as​ needed.)
**Table: Overhead Width and Weight Correlation**

This table presents data correlating the overhead width in centimeters (cm) with weight in kilograms (kg). Each pair of values corresponds to a specific measurement instance.

- **Overhead Width (cm):** 7.5, 8.4, 8.9, 8.2, 7.2, 7.8
- **Weight (kg):** 164, 234, 252, 194, 171, 204

The data suggests a relationship between the overhead width and weight, which could be investigated further to determine the nature of their correlation.
Transcribed Image Text:**Table: Overhead Width and Weight Correlation** This table presents data correlating the overhead width in centimeters (cm) with weight in kilograms (kg). Each pair of values corresponds to a specific measurement instance. - **Overhead Width (cm):** 7.5, 8.4, 8.9, 8.2, 7.2, 7.8 - **Weight (kg):** 164, 234, 252, 194, 171, 204 The data suggests a relationship between the overhead width and weight, which could be investigated further to determine the nature of their correlation.
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