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3 years ago

Solve for x, please help and thank you

Mathematics

2 answers:

klio [65]3 years ago

8 0

X=10 I think I’m not sure

Alex787 [66]3 years ago

6 0

Answer:

The answer is 10

Step-by-step explanation:

It's a 90 degree angle so:

48 + 32 = 80

90 - 80 = 10

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Find an equation of a line parallel to the given line and contains the given point. Write the equation in slope-intercept form.

Novosadov [1.4K]

Answer:

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3 years ago

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What is the 10th term of the sequence represented by an = (-2)n + 3n? a10 = -994

Slav-nsk [51]

I had to google this one and got 17...

7 0

3 years ago

No clue how to do this one, pls help

DiKsa [7]

Answer:

I dont know but example

Step-by-step explanation:

A cubic foot is a cube with a side length of one foot.

We know that, 1 foot = 12 inches.

So, 1 cubic foot is a cube with side length 12 inches.

You can use the formula for the volume of a prism, V=bwh , to convert cubic units.

Since 1 foot = 12 inches, replace b , w , and h with 12 .

V=(12)(12)(12) =1,728

So, 1 cubic foot is equal to 1,728 cubic inches.

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3 years ago

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Larry weighed 200 pounds when he started his first and lost 50 pounds. What percent of his original weight did Larry lose

pantera1 [17]

Answer:

25%

Step-by-step explanation:

50 is 1/4 of 200 and 1/4 of 100% is 25%

3 0

4 years ago

The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large uni

Zina [86]

Answer:

The equation of the regression line is: $y~=~88.518 ~-~ 3.068 \cdot x$

Step-by-step explanation:

Linear regression is a linear approach to modelling the relationship between a dependent variable and one or more independent variables.

Let X be the independent variable and Y be the dependent variable. We will define a linear relationship between these two variables as follows:

$Y=bX+a$

We have the the following data:

$\begin{array}{c|cccccccccc}No. \:of \:absences,\:x&0&1&2&3&4&5&6&7&8&9\\Final \:grade, y&88.5&85.7&82.8&80.3&77.4&73.1&63.6&68.1&65.2&62.4\end{array}$

To find the line of best fit for the points, follow these steps:

Step 1: Find $X\cdot Y$ and $X\cdot X$ as it was done in the table.

Step 2: Find the sum of every column:

$\sum{X} = 45 ~,~ \sum{Y} = 747.1 ~,~ \sum{X \cdot Y} = 3108.8 ~,~ \sum{X^2} = 285$

Step 3: Use the following equations to find intercept a and slope b:

$\begin{aligned} a &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 747.1 \cdot 285 - 45 \cdot 3108.8}{ 10 \cdot 285 - 45^2} \approx 88.518 \\ \\b &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 10 \cdot 3108.8 - 45 \cdot 747.1 }{ 10 \cdot 285 - \left( 45 \right)^2} \approx -3.068\end{aligned}$

Step 4: Assemble the equation of a line

$\begin{aligned} y~&=~a ~+~ b \cdot x \\y~&=~88.518 ~-~ 3.068 \cdot x\end{aligned}$

The graph of the regression line is:

4 0

3 years ago