contestada

Answer correclty

Question 1:
What is the first step to writing an equation in slope-intercept form using the given points: (-1, 0), (-2, -2).

A) Use point-slope form

B) Substitute -1 for x and 0 for y in y = mx + b

C) Find the slope using the slope formula
y2 - y1
x2 - x1

D) Find the slope using the slope formula y = mx + b

Question 2:
The events x and y have a correlation coefficient of r= 0.02. What is the relationship between x and y?

A) The events have a strong negative linear correlation.

B) The events have a strong positive linear correlation.

C) The events have a weak negative linear correlation.

D) There is little or no linear correlation.

Respuesta :

BasketballEinstein

Answer:

2. B) The events have a strong positive linear correlation.

1. C) Find the slope using the slope formula:

[tex]\frac{y_2 - y_1}{x_2 - x_1}[/tex]

Step-by-step explanation:

2. The correlation coefficient is 0,02, which is positive, so this would be the obvious choice.

1. You CANNOT write a linear equation without FIRST finding the rate of change [slope]. You will ALWAYS need the rate of change in order to write any linear equation.

I am joyous to assist you anytime.

Answer:

1) C

2) B

Step-by-step explanation:

Solution:-

Q1)

- The first step to write an equation of line in slope-intercept form is to determine the slope of the line from a line connecting the points ( -1 , 0 ) and ( -2 , -2 ). using the formula:

                                   m = ( y2 - y1 ) / ( x2 - x1 )

Where, m = slope

            The points are:

                                     ( x1 , y1 ) = ( -1 , 0 )

                                     ( x2 , y2 ) = ( -2 , -2 )

- So the correct answer is option C.

Q2)            

- The given correlation coefficient r is given to be 0.02. The correlation between variables x and y exist because r ≠ 0, this rules out option D.

- The positive or negative correlationship is given by the sign of the correlation coefficient. Since, r = 0.02 then r > 0. So we can conclude its a strong positive linear correlation, So option B is correct.                            

Otras preguntas