Answer:
The equation of the regression line is:

Step-by-step explanation:
The Least Squares Regression Line is the line that makes the vertical distance from the data points to the regression line as small as possible. It’s called a “least squares” because the best line of fit is one that minimizes the variance.
We have the following data:

To find the line of best fit for the points:
Step 1: Find
and
as it was done in the table
Step 2: Find the sum of every column:

Step 3: Use the following equations to find a and b:

Step 4: Assemble the equation of a line

The graph of the regression line is:
Answer:
Not solveable
Step-by-step explanation:
because that to solve the two unkown number you must have two equations of it in order to solve it
Answer:
- No
- No
- Yes
- No
- Yes
A statistical question is one that can be answered in numbers.
Answer:
possible?? but I think that there is a typo, and that there would not be a bias
Step-by-step explanation:
can we assume that there are no typos in the question
he threw BUTTONS in the air, and look at buttons that landed with the BOTTOMS facing up ??? in that case the weight might bias the orientation of the landing... I think that you have a typo and it just says that he collected 14 BUTTONS, in that case given that they are "IDENTICAL" we most likely can assume that there would be no bias (size color, texture are all the same)
Step-by-step explanation:
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As we know the radius and slant height, we can use Pythagoras' Theorem to find the perpendicular height.
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Now substitute this into the volume formula.
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