Answer:
<h3>
"In a linear regression model, the variable that is being predicted or explained is known as <u>
_dependent variable</u>
It is denoted by y and is often referred to as the response variable".</h3>
Step-by-step explanation:
Given that "In a linear regression model, the variable that is being predicted or explained is known as <u>dependent variable</u> It is denoted by y and is often referred to as the response variable".
- Because linear regression models for variables are used to explain or predict the relationship between two variables.
- The variable in the given model that is being predicted is called the dependent variable.
Answer:
2c - 18x + 74/5
Step-by-step explanation:
<u>Step 1: Distribute
</u>
2(c + 7) - 18x + 4/5
(2 * c) + (2 * 7) - 18x + 4/5
<em>2c + 14 - 18x + 4/5
</em>
<u>Step 2: Combine like terms
</u>
2c + 14 - 18x + 4/5
<em>2c - 18x + 74/5
</em>
Answer: 2c - 18x + 74/5
Answer:
This is a reflection about the x-axis.
Step-by-step explanation:
A reflection about the x-axis has the rule
[x,y]-> [x,-y].
Therefore
M[x,y] = [x,-y}
Let M=
|a b|
|c d|
Then the matrix multiplication gives
ax+by=x.............(1)
cx+dy=-y............(2)
Solving the previous equations (1) and (2) gives
a=1, b=0
c=0, d=-1
giving M as
|1 0|
|0 -1|
6
y= the t intercept which is 1
Answer: 95% confidence interval would be (26.01,29.39).
Step-by-step explanation:
Since we have given that
n = 50
Mean = 27.7
Standard deviation = 6.12
We need to construct 95% confidence interval for the population.
so, z = 1.96
So, it becomes,
Hence, 95% confidence interval would be (26.01,29.39).
