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Vladimir [108]
3 years ago
14

Billy's plant is at least 2 inches tall. Graph all the possible heights of the plant.

Mathematics
1 answer:
Tasya [4]3 years ago
5 0
He means that 5.08 cm is a possible coordinate, and 50.8 mm is a possible coordinate 
:)
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What is the solution to this equation <br> 4x+x-15+3-8x=13
Fynjy0 [20]
5x -15 + 3 -8x = 13
5x  -12 -8x = 13
5x -8x =13 -12
-3x = 1
x = -1/3
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Mark and Bobby are going to share a pizza mark will randomly choose the topping for his half the topping choices are pepperoni m
just olya [345]

1and8

Step-by-step explanation:

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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

Male 73.84701702 241.8935632

Male 68.78190405 162.3104725

Male 74.11010539 212.7408556

Male 71.7309784 220.0424703

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Male 67.25301569 152.2121558

Male 68.78508125 183.9278886

Male 68.34851551 167.9711105

Male 67.01894966 175.9294404

Male 63.45649398 156.3996764

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Male 66.14913196 149.173566

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Male 67.89319634 162.0066518

Male 68.1440328 192.3439766

Male 69.08963143 184.4351744

Male 72.80084352 206.8281894

Male 67.42124228 175.2139224

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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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Show the relationship between the number of miles and the number of hours in the ratio 12 to 1
densk [106]

Answer:

The person has a speed of 12 miles per hour.

Step-by-step explanation:

The ratio is 12 miles to 1 hour.

This means, that in every hour, the person can move 12 miles and has a speed of 12 miles per hour.

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3 years ago
Please help with math question!!
vredina [299]

Answer:

b. cubic

Step-by-step explanation:

hope this helps :)

6 0
3 years ago
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