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aleksandrvk [35]
3 years ago
11

Kim had 20 minutes to do a three-problem quiz. She spent 9 3/4 minutes on question A and 5 1/2 minutes on question B. How much t

ime did she have left for question C?
Mathematics
2 answers:
SVEN [57.7K]3 years ago
6 0
4 minutes and 45 seconds
dezoksy [38]3 years ago
4 0
4:45 because 9:45+5:30=15:15. When subtracted from so that equals 4:45
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Math helps with science because you'll need to know the math in order to convert units in science.
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Rearrange g = t - 7g to make g the subject
muminat
I switched both sides of the equation in the very beginning so it would be easier to solve.

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3 years ago
What is the answer? 15 points
artcher [175]

Answer:

The third option.

8 0
2 years ago
The sum of 2 numbers is 38. one number is 10 more than the other.
son4ous [18]

Answer:

24, 14

Step-by-step explanation:

x + y = 38

x = 10 + y

You can substitute (10+y) into the top equation where the x is.

10 + y + y = 38

10 + 2y = 38

2y = 28

y = 14

Now plug 14 in for y in either equation to get x

x = 10 + 14

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8 0
3 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
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