Exercise 4<br> Find the following sums and differences using a number line model.<br> a. -6+3

An online store randomly samples three groups of 100 customers on which delivery method they use. The data shows the results of

masha68 [24]

The answer is 854 for sure. I did the test and got it all right.

6 0

3 years ago

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A set of bivariate data was used to create a least squares regression line. Which of the following is minimized by the line

77julia77 [94]

Answer:

B) The sum of the squared residuals

Step-by-step explanation:

Least Square Regression Line is drawn through a bivariate data(Data in two variables) plotted on a graph to explain the relation between the explanatory variable(x) and the response variable(y).

Not all the points will lie on the Least Square Regression Line in all cases. Some points will be above line and some points will be below the line. The vertical distance between the points and the line is known as residual. Since, some points are above the line and some are below, the sum of residuals is always zero for a Least Square Regression Line.

Since, we want to minimize the overall error(residual) so that our line is as close to the points as possible, considering the sum of residuals wont be helpful as it will always be zero. So we square the residuals first and them sum them. This always gives a positive value. The Least Square Regression Line minimizes this sum of residuals and the result is a line of Best Fit for the bivariate data.

Therefore, option B gives the correct answer.

5 0

3 years ago

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What is the slope of a line that passes through the points (-4,0) and (0,4)?

CaHeK987 [17]

Answer:

The slope is the change in Y over the change in X.

m = (0 - 3) / (0 - (-4)) = -3 / +4 = -0.75

4 0

3 years ago

1/7-3(3/7 n - 2/7) pleaseeee

trasher [3.6K]

Answer:

1- 9n/7

Step-by-step explanation:

I hope i helped! :)

8 0

3 years ago

What is the mean absolute deviation of the following data set

tatuchka [14]

Answer:

4.32

Step-by-step explanation:

First, we have to find the mean of the data set.

16, 11, 9, 12, 11, 10, 10, 8, 15, 0, 2, 15, 14, 7, 11, 5, 14, 20, 3, 11, 13, 7, 0, 5, 21 all added together equals 250. 250 divided by 25 = 10. So 10 is the mean.

Now we have to find the absolute distances of each number from the mean.

16 - 10 = 6... 11 - 10 = 1... so on, giving us this -->

6, 1, 1, 2, 1, 0, 0, 2, 5, 10, 8, 5, 4, 3, 1, 5, 4, 10, 7, 1, 3, 3, 10, 5, 11

Finally, we have to find the mean of the distances (which is done by adding all the numbers above and dividing the sum by the number of values there are).

108 divided by 25 = 4.32.

So, 4.32 is the mean absolute deviation (MAD) of the following data set.

4 0

2 years ago

Exercise 4 Find the following sums and differences using a number line model. a. -6+3