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Alex777 [14]
3 years ago
7

3.64 divided by 60.5 ROUNDED plz answer!!!

Mathematics
1 answer:
olga nikolaevna [1]3 years ago
5 0

Answer:

0.06

Step-by-step explanation:

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Find the length of CV¯¯¯¯¯¯¯¯ A. 43.92 B. 33.1 C. 68.87 D. 41.45
Anni [7]

Answer: B. 33.1

Step-by-step explanation:

Use sin to solve (opposite/hypotenuse)

let x= length of CV

sin(37)=x/55

x=55sin(37)

x≈33.1

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3 years ago
PLEASE HELP!!! WHOEVER GETS THE ANSWER RIGHT GETS BRAINLIEST!!!
masha68 [24]

There is 4 X so you use 360- (11+1) which is 348 and now divide by 4 which is now 87

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2 years ago
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-mb-m^2 for m=3.48 and b=96.52
AlekseyPX
I- huh I don’t understand the question
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3 years ago
Find the constant rate of change.
Aleonysh [2.5K]

Answer:

-1

Step-by-step explanation:

slope = y2-y1/x2-x1

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slope = 5-3/5-7 = 2/-2 = -1

3 0
3 years ago
You conducted a regression analysis between Amount of Wealth in society (x) and the Stock Market Value (y) and the study yielded
Aliun [14]

Answer:

E IS THE CORRECT ANSWER

The R-squared is 0.64 and it means that the dependent value explains 64% of the independent value in the simple regression analysis

Step-by-step explanation:

R-Squared value is a very important indicator in a regression analysis.

What does it measure?

It measures how close to the line of best fit are the data points. How good the fitted line is can be indicated by the value of the r-squared.

The maximum value it can take is 1 and at this value, there is a direct and complete relationship between the independent variable x and the dependent variable y. The value 1 represents an 100% relationship between both parties.

The r-squared has a value of between 0 and 100%. The closer to 100, the better the model while the closer to 100, the more faulty the model is. In fact, a value of 0 indicates no relationship at all between the dependent and the independent variable.

With an R-squared value of 0.64, the regression model works above average to explain that the dependent variable explains 64% of the independent value in the simple regression analysis.

8 0
3 years ago
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