How could a(8x+7) and 4x+3.5 be equivalent? <br> What is the value of a?

You play a game that involves drawing two numbers from a hat. There are 25 pieces of paper numbered 1 to 25 in the hat. Each num

Sergeu [11.5K]

Answer:so it’s 5

Step-by-step explanation:

It’s 2 divided by 10 = 5

3 0

2 years ago

How do we graph f(x)=x-7

babymother [125]

The graph of f(x) is a straight line passing through points (0, -7) and (7, 0)

4 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

An inequality is a statement that compares two expressions that are strictly equal.

djyliett [7]

Answer:

False

Step-by-step explanation:

an inequality is a relation which makes a non-equal comparison between two numbers or other mathematical expressions.

5 0

3 years ago

Read 2 more answers

HELP PLEASE ASAP! BRAINLIESTTTT

erik [133]

1.) Which variable did you plot on the x-axis, and which variable did you plot on the y-axis?
x-axis represents people's arms span, y-axis represents their corresponding height

2.) Explain why you assigned the variables in that way.
because you can find the height of people(y) by plugging arm span in x. And i can find people's arm span(x) by plugging height as y

4 0

3 years ago

How could a(8x+7) and 4x+3.5 be equivalent? What is the value of a?