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Varvara68 [4.7K]
2 years ago
5

Gerry spends $1.25 each day on lunch at school. On Fridays, she buys an extra snack for $0.55. How much money will she spend in

two weeks?
Mathematics
1 answer:
Ludmilka [50]2 years ago
4 0

Answer:

$13.60

Step-by-step explanation:

First let's find how much Gerry spends on lunch in 2 weeks (assuming she goes to school 5 days a week):

$1.25*10=$12.50

Now we find out how much she pays for the extra snack. Since in 2 weeks there are 2 Fridays then:

0.55*2=$1.10

Then we add these two together to get:

$12.50+$1.10=$13.60

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A CD usually sells for $17.00. If the CD is 20% off, and sales tax is 6%, what is the total price of the CD, including tax?
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Answer:

14.42

Step-by-step explanation:

17.00 x .80  20% off means price is 80% (or .80) of price

=13.6

13.6 x .06 = .82 sales tax

13.60 + .82 = 14.42 sales price plus sales tax

8 0
3 years ago
Using the same data, Complete the following
astra-53 [7]

Answer:

a) weight = 49.995 +0.103height +\epsilon

R^2 = 0.67051225196413

R^2_{adj} =0.66160717769289

F =75.2955260721013

b) H0:\beta_1 =0

H1: \beta_1 \neq 0

On this case the test statistc is given by t=8.67729946884982

And the p value obtined was: p_v =1.88977483236692x10^{-10} and since the p value is lower than th significance level we can reject the null hypothesis at 5% of significance. The slope is significant.

SE_{\beta_1}=0.0118255634597743

Step-by-step explanation:

We assume the following info:

Gender Height Weight

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Male 63.45649398 156.3996764

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And we can use excel to solve the problem

Part a

On this case we need to click on Data>Data analysis>Regression>Ok

We select the input Y range and th X range and then we click in Ok.

The output obtained is on the first figure attached.

And in order to estimate the regression line we need to look into the column Coefficients, and for this case we got:

\beta_0 =49.995

\beta_1 =0.103

And the linear model would be given by:

weight = 49.995 +0.103height +\epsilon

For the determination coefficient we have:

R^2 = 0.67051225196413

And the adjusted R^2 =0.66160717769289

And if we analyze the output th F statistic is given by:

F =75.2955260721013

Part b

We want to test:

H0:\beta_1 =0

H1: \beta_1 \neq 0

On this case the test statistc is given by t=8.67729946884982

And the p value obtined was: p_v =1.88977483236692x10^{-10} and since the p value is lower than th significance level we can reject the null hypothesis at 5% of significance. The slope is significant.

The standard error for the slope is given in the output:

SE_{\beta_1}=0.0118255634597743

t=8.67729946884982

p_v =1.88977483236692x10^{-10}

We reject the null hypothesis.

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What number multiply to -12 and subtract to -1
nataly862011 [7]

Such numbers are not possible.

You can have -4 and 3 or -3 and 4 multiplied with each other to multiply to -12, but if you want to subtract them then you will get 7 or -7.

If you wanted to add them together, then the numbers are -4 and 3.

7 0
3 years ago
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