Step-by-step explanation:
Regression analysis is used to infer about the relationship between two or more variables.
The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.
<u>Method 1:</u>
Using regression analysis the line of best fit is: 
Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.
The formula to compute the intercept is:
Here<em> </em>
and 
are mean of the <em>y</em> and <em>x</em> values respectively.
The formula to compute the slope is:
And the formula to compute the error is:
<u>Method 2:</u>
The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.
The equation of the line of best fit is:
Here <em>r</em> = correlation coefficient = 
and 
are standard deviation of <em>x</em> and <em>y</em> respectively.
The answer is 1.28 because you add 2.37+35 then subtract that from $5
Answer:
<h3>2kg = mass</h3>
Step-by-step explanation:
<h3>What is the mass?</h3>
Mass is a body of matter without definite shape.
Use the Newton's second law of motion formula.
Note: 
<u>Given:</u>
- Force = 10N
- Acceleration = 5m/s
First thing you do is divide.
10/5=2
= 2kg (mass)
Therefore, the final answer is 2kg (mass).
I hope this helps, let me know if you have any questions.
To learn more about the mass:
brainly.com/question/7580108
Answer:
37.5
Step-by-step explanation:
12.5x3=37.5
I hope i helped
Answer:
x³ + 5x² + 5x - 2
Step-by-step explanation:
Given
x³ + 3x² - x + 2x² + 6x - 2 ← collect like terms
= x³ + (3x² + 2x² ) + (- x + 6x ) - 2
= x³ + 5x² + 5x - 2
