Answer:
7.5
Step-by-step explanation:
Using similar triangles.
Answer:
The sets could be 5, 5, 5, 5, 5 and 0, 10, 20, -10, 5
Step-by-step explanation:
Standard deviations are a measure of how far the average point is away from the mean. In the first example, each term is exactly the mean. In the second set, some are quite a distance from the mean and therefore, it would have a bigger standard deviation.
ANSWER:
I believe you wish to calculate the sum of squares total (SST) for this regression analysis. The sum of squares total is 1053.15
Step-by-step explanation:
The sum of squares total is numerically derived by adding the sum of squares regression (regression sum of squares) to the sum of squares error (error sum of squares). The regression sum of squares here is 752.25 and the error sum of squares is 300.9
This gives us a total sum of squares of 1053.15
Sums of squares tell if a linear regression of one variable (or variables) on another is good or not.
The squared differences between the observed dependent variable and its mean is a measure of the total variability of the data set.
So the SST is equal to 752.25 + 300.9 = 1053.15
Answer:
Sorry I think the question is mistake.
<h2>
Hello!</h2>
The answer is:
The equation of the line with slope 3 that passes through the point M(1,2) is:
<h2>
Why?</h2>
To determine the equation of the line with slope equal to 3, that passes through the point M(1,2) we can use the following equation:
The slope-intercept of the line is defined by the following equation:
Where,
m is the slope of the line
b is the constant number which represents the y-axis intercept of the line.
So, using the given information, we have:
Then, using the given point to calculate "b", we have:
So, rewriting the equation, we have:
Hence, the equation of the line with slope 3 that passes through the point M(1,2) is:
Have a nice day!