5. What are the x-intercepts given the quadratic equation's binomial factors (x-4) (x + 6)?!
1 answer:
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Answer:
(a)
(b) 83.6%
Step-by-step explanation:
(a)
A least square regression line is to be formed for predicting beak heat loss, as a percent of total body heat loss, from temperature.
Use MS-Excel to form the regression line.
Go to Data → Data Analysis → Regression
A dialog box will open.
Select the X and Y variables.
Press OK.
The regression output is attached below.
The equation of the least‑squares regression line is:
(b)
The coefficient of determination R² specifies the percentage of the variance in the dependent variable (Y) that is forecasted or explained by linear regression and the forecaster variable (X, also recognized as the independent variable).
Consider the regression output attached below.
The R² value is 0.8360.
That is 83.6% of the variation in beak heat loss is explained by the straight‑line relationship with temperature.
