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3 years ago

8

Write the slope intercept inequality for the graph below.

1 answer:

inna [77]3 years ago

7 0

Answer:

up by 3

across by 5

rise / run = 3/5 = 0.6

0.6 = slope

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The average human body temperature is 98.6 far Fahrenheit.Write 98.6 as a mixed number in simplest form.

zimovet [89]

98 3/5 is the correct answer

8 0

3 years ago

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Bob deposits $2480 into a savings account at 3% interest. At the end of four years how much simple interest does he earn?

vovikov84 [41]

Ok here’s the equation you can run on the next one
A=P(1+rt) A is total P is current amount or starting amount r is annual interest and t is the amount of time
Your answer is
$297.60

7 0

3 years ago

In a study relating the degree of warping, in mm, of a copper plate (y) to temperature in °C (x), the following summary statisti

kipiarov [429]

Answer:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

Step-by-step explanation:

Linear regression is a way "to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables)".

Regression estimates are "used to describe data and to explain the relationship between one dependent variable and one or more independent variables"

The linear model is given by the following equation $Y=mx +b$ , where y is the dependent variable, x the independent variable, m the slope and b the intercept.

For this case we have the following info given:

$\sum_{i=1}^n (x_i -\bar x)^2 =98775$

$\sum_{i=1}^n (y_i -\bar y)^2 =19.4$

$\bar x =26.36$

$\bar y =0.5188$

n= 40 represent the sample size

$\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y) =796.94$

The total sum of squares is given by this formula:

$SST= \sum_{i=1}^n (y_i -\bar y)^2 =19.4$

And from the formulas for a simple regression, we need to calculate the slope for the regression like this:

$m=\frac{\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)}{\sum_{i=1}^n (x_i -\bar x)^2}$

And if we replace the values given we have:

$m=\frac{796.94}{98775}=0.008068$

We have another useful equation in order to find the sum of squares for the regression, given by:

$SSR=m* \sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)=0.008068*796.94=6.430$

And we know this equivalence:

$SST= SSR+SSE$

And solving for the sum of squares for the error we have:

$SSE=SST-SSR=19.4-6.430=12.97$

So then we have the final solutions:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

6 0

3 years ago

Why is the answer B?

Radda [10]

Remark

Whatever the original price, he gets 70% in the first instance.

He gets 80% in the second instance.

He gets 90% in the third instance

His total income is 240 dollars.

Let the original price be x

Equation

70%x + 80%x +90%x = 240

70% = 0.7 ; 80% = 0.8 ;90% = 0.9

Solution

0.7x + 0.8x + 0.9x = 240 Take out x as a common factor and add the decimals.

x (0.7 + 0.8 + 0.9) = 240

2.4x = 240 Divide both sides by 2.4

x = 240/2.4

x = 100

So the watches should have brought in 3*100 = 300 dollars.

He only brought in 240 dollars.

He lost 300 - 240 = 60 dollars.

The answer is B.

7 0

3 years ago

As a retiring employee, you'll receive 8.96% of your average salary from the last five years you worked with your company.

Aleksandr [31]

Answer:

$134,820

Step-by-step explanation:

is the correct answer

6 0

2 years ago

Read 2 more answers