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Alja [10]
3 years ago
13

Choose the best answers to complete the statements below.

Mathematics
1 answer:
morpeh [17]3 years ago
5 0

<u>Answer:</u>

245 days per year ; 1715 hours per year

<u>Step-by-step explanation:</u>

Every emplyoee  works 5 days per week , 49 weeks per year. So,

Every employee works,

5 \times 49 days  = 245 days per year .

Every employee works  7 hours per day,

so, every employee works  7 \times 245 hours

                                           =  1715 hours per year .

                                     

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Alan has an annual base salary of $18,000. In addition to his salary, he earns 9% of his total sales (S). If he wants to earn at
aivan3 [116]

The right answer is Option D: S>$300,000.

Step-by-step explanation:

Given,

Base salary of Alan = $18000

Commission = 9% = \frac{9}{100} = 0.09

Amount Alan wants to earn = $45000 or more

Let,

s be the worth he needs to sell.

Therefore,

Base salary + Commission*Total sales>Amount Alan wants to earn

18000+0.09s>45000

0.09s>45000-18000\\0.09s>27000

Dividing both sides by 0.09

\frac{0.09s}{0.09}>\frac{27000}{0.09}\\s>300000

Alan must sold items that worth at least $300,000.

The right answer is Option D: S>$300,000.

Keywords: inequality, division

Learn more about inequalities at:

  • brainly.com/question/4228574
  • brainly.com/question/4279146

#LearnwithBrainly

7 0
3 years ago
A taxi travels 25 kilometers east of an airport. Then it travels from that point to a point that is 40 kilometers west of the ai
kati45 [8]
25km east + 25km return+  40km west + 40km return = 130km

Hope that helped :)
7 0
3 years ago
An important assumption underlying inferences from a linear regression is that variance in the response variable is reasonably c
rewona [7]

Answer:

A. True

Step-by-step explanation:

Linear regression is "an analysis that assesses whether one or more predictor variables explain the dependent (criterion) variable.  The regression has five key assumptions:

1) Linear relationship : We need to check if the dependnet variable present a linear relationshipThe linearity assumption can best be tested with scatter plots in order to check if we have outliers in the data.

2) Multivariate normality : "The linear regression analysis requires all variables to be multivariate normal".  And we can check this with a histogram or a Q-Q-Plot, usually Normality can be checked with a goodness of fit test like the Kolmogorov-Smirnov test or Shapiro Wilks test.

3) No or little multicollinearity : "Multicollinearity occurs when the independent variables are too highly correlated with each other". And we can check this with a correlation matrix, variance inflation factor (VIF's), correlation index and other statistics.

4) No auto-correlation : The "Autocorrelation happens when the residuals are not independent from each other in the data". And usually we can test this with the Durbin-Watson test.

5) Homoscedasticity: MEans that we need constant variance for the linear model. The scatter plot is good way to check whether the data are homoscedastic. And we can interpret this condition as "that variance in the response variable is reasonably consistent across the range of an explanatory factor (otherwise known as homoscedasticity)"

So then the statement is TRUE.

5 0
3 years ago
I need help I don’t get this someone help.
Andrei [34K]

Answer:

A,C,D

...............................

4 0
3 years ago
Read 2 more answers
I need help with this!!!
7nadin3 [17]

Answer:

6

Step-by-step explanation:

cancel out 5 by multiplying its by 5, what you do to one side you do to the other.   so you also multiply 12 by 5. and you should get 60

3 0
3 years ago
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