<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>

6 0

4 years ago

Line q passes through the point (4,6)and (0,6).

larisa86 [58]

Answer:

The equation of the line passing through the points (4, 6) and (0, 6) will be:

y = 6

The graph of the equation y = 6 is also attached.

Step-by-step explanation:

The slope-intercept form of the line equation

$y = mx+b$

where

m is the slope

b is the y-intercept

Given the points

(4, 6)

(0, 6)

Finding the slope between (4, 6)and (0, 6).

Using the formula

Slope = m = [y₂ - y₁] / [x₂ - x₁]

= [6 - 6] / [0 - 4]

= 0 / -4

= 0

Thus, the slope of the line = m = 0

The slope m = 0 means the line is horizontal. Because the slope of the horizontal line is 0.

As the y-values are not changing with respect to the x-values.

Therefore,

The equation of the line passing through the points (4, 6) and (0, 6) will be:

y = 6

The graph of the equation y = 6 is also attached.

8 0

3 years ago

What is the next number in the pattern below? 3, 5, 9, 15, 23, ___ 31 33 35 37

DaniilM [7]

Each term in this pattern is created by adding consecutive multiples of 2 to the previous term.
$a_1=3 \\
a_2=3+ 2 \times 1=5 \\
a_3=5+2 \times 2=9 \\
a_4=9+2 \times 3=15 \\
a_5=15+2 \times 4=23$

You can write the formula for this pattern as:
$\left \{ {{a_1=3} \atop {a_n=a_{n-1}+2(n-1)}} \right.$

The next number is $23+2 \times 5=23+10=33$ .
The answer is 33.

7 0

3 years ago

Please help as soon as possible

patriot [66]

17.5

5 is the og length. Scale factor is 3.5. So

5(3.5)=17.5

3 0

3 years ago