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dolphi86 [110]
3 years ago
15

What s the compensation strategy for 4153+2988

Mathematics
1 answer:
Paul [167]3 years ago
5 0
The strategy I don't, but the answer is 7,141
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Hi can you help me with this thingy about slopey slope? thanks
Bond [772]
Gavin earns more because he earns 20 per hour and eva earns 11.5 per hour.

So Gavin earns 8.50 more than eva.

Hope this helps :)
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3 years ago
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A negative number divided by a positive number have to equal 7
Andrei [34K]

Answer:

-49 divided by 7

Step-by-step explanation:

-49 ÷ 7

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Joey answered 21 out of 25 questions correctly on a quiz what percent of his answers were correct
DedPeter [7]

Answer:

84%

Step-by-step explanation:

Joey gives 21 correct answers out of 25 questions on a quiz.

We have to calculate the percent of Joey's correct answer.

Now, percentage of x out of y is given by the simple expression \frac{x}{y} \times 100%.

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3 years ago
NEED THIS ASAPGraph each inequality
Usimov [2.4K]

Answer: <em>here are the graphs. the one with the sloped line is </em>5x - 3y ≤ -15.<em> the one with the straight line is </em>y ≥ 4.

3 0
3 years ago
Consider the following statements:
Artyom0805 [142]

Answer:

d. Both I and II are false

Step-by-step explanation:

When there is a high degree of linear correlation between the predictors the errors are found.

The basic objective of the regression model is to separate the dependent and independent variables. So if the variables have high degree of linear correlation then the multi collinearity causes problems or has errors. It is not necessary that multi collinearity must be present with high degree of linear correlation.

For example we have 3 variable of heat length and time. And all of them have a high degree of correlation. With increase in heat and time the length increases . But for multi collinearity with the increase of time and decrease of heat length does not increase. So this causes errors.

y-hat = 135 + 6x + errors

The linear relationship between height and weight is inexact. The deterministic relation in such cases is then modified to allow the inexact relationship between variables and a non deterministic or probabilistic model is obtained which has  error which are unknown random errors.

y- hat= a + bXi + ei   (i=1,2,3...)

ei are the unknown random errors.

<u><em>So both statements are false.</em></u>

<em><u /></em>

7 0
3 years ago
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