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.

Answer:
Step-by-step explanation:
x 0 , VCB ln(1 4x2 ) tương đương với
X + 7 < 2x +7
therefore
<span>x < 2x
</span>x > 0
another:
25 + 7 > 10 + 7
therefore
25 > 10
Answer:
a. annual income = $31,200
b. Social Security tax = $1,934.40
c. Medicare = $452.40
Step-by-step explanation:
40 hours in a week
52 weeks in a year
Tom makes $15 / hour
In a year, the
a. annual income = 15*40*52 = 31200
b. Social Security tax = 31200 * 0.062 = 1934.40
c. Medicare = 31200 * 0.0145 = 452.40