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AleksAgata [21]
3 years ago
6

Help fast i am lazy ​

Mathematics
2 answers:
bearhunter [10]3 years ago
7 0
25 might be the area
olchik [2.2K]3 years ago
6 0

Answer:

Step-by-step explanation:

yes

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USPshnik [31]

Answer:

The Median of this data is 17 :)

Step-by-step explanation:

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Step-by-step explanation:

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3 years ago
There are two spinners. The first spinner has three equal sectors labeled 1, 2, and 3. The second spinner has four equal sectors
zhuklara [117]
<h3>Answer: A) 1</h3>

=========================

Explanation:

Let's label each pair of outcomes as an ordered pair (x,y)

x = first spinner outcome

y = second spinner outcome

We have these 12 different possible combos

(1,3),   (1,4),   (1,5),   (1,6)

(2,3),  (2,4),  (2,5),  (2,6)

(3,3),  (3,4),   (3,5),  (3,6)

Focus on the third column where y = 5 for each (x,y) pair. Of this column only (2,5) has x be an even number. The other results in that column have x be odd.

Basically (1,5) is the only possible outcome if we want the first spinner to lan on an even number, and the second spinner to land on 5.

7 0
4 years ago
Regarding the violation of multicollinearity, which of the following description is wrong?
MA_775_DIABLO [31]

Complete question is;

Regarding the violation of multicollinearity, which of the following description is wrong?

a. It changes the intercept of the regression line.

b. It changes the sign of the slope.

c. It changes the slope of the regression line.

d. It changes the value of F-tests.

e. It changes the value of T-tests

Answer:

a. It changes the intercept of the regression line

Step-by-step explanation:

Multicollinearity is a term used in multiple regression analysis to show a high correlation between independent variables of a study.

Since it deals with independent variables correlation, it means it must be found before getting the regression equation.

Now, looking at the options, the one that doesn't relate with multicollinearity is option A because the intercept of the regression line is the value of y that is predicted when x is 0. Meanwhile, multicollinearity from definition above does in no way change the intercept of the regression line because it doesn't predict the y-value when x is zero.

7 0
3 years ago
I need help with 15 mutually exclusive question!!!! Hate stats so much
UNO [17]
Do you have notes that you could share with me? Then maybe I could manage to help out more

8 0
3 years ago
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