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2 years ago

Tyrell worked part-time last summer. He worked for 6 weeks and earned

Mathematics

2 answers:

vagabundo [1.1K]2 years ago

8 0

Answer:

$70.83

Step-by-step explanation:

we do

425/6

=70.83

Yuliya22 [10]2 years ago

4 0

Answer:

$70.83

Step-by-step explanation:

425 divided by 6 = $70.83

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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

Venus and Serena measured a tennis court and found that it was 42ft longer than it was wide and had a perimeter of 228ft. What w

mr_godi [17]

Answer:

length = 78 feet

width = 36 feet

Step-by-step explanation:

Using one variable and an expression, you can set up an equation equal to the perimeter to find the measure of each side:

width = 'w'

length = '42ft longer than it was wide' = w + 42

The general formula for the perimeter of a rectangle:

P = 2w + 2l

Plugging in the given values and variables:

228 = 2w + 2(w + 42)

Distribute: 228 = 2w + 2w + 84

Combine like terms: 144 = 4w

Divide and solve: 36 = w

w = 36 ft

l = 36 + 42 = 78 ft

8 0

3 years ago

1. What is the difference between –4 and 6?

Alexandra [31]

1.Choice 4: 10
2. Choice 1: Add 5.2 to both sides if the equation.

4 0

3 years ago

Read 2 more answers

Find the product: (6x+5)(2x−7)

Marrrta [24]

-420 is your answer
your welcome make me the brainliest!!!

5 0

2 years ago

A box contains paper clips of three different sizes. The numbers of each size of paper clip are listed below.

Bond [772]

Answer:

$\frac{7}{10}$

Step-by-step explanation:

Add all paper clip sizes together:

$100 + 250 + 150 = 500$

They want the probability of either a small or medium being chosen, so you add both paper clips sizes together.

$100 + 250 = 350$

Now put the number of small and medium paper clips together over the total number of paper clips to find the probability.

Can divide 350 and 500 by 50, which simplifies it down to 7/10.

$\frac{350}{500} = \frac{7}{10}$

8 0

2 years ago

Read 2 more answers