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True [87]
3 years ago
11

Which of the following statistics provides us with a measure of the variation in the dependent variable explained by the Simple

Linear Regression model?
Group of answer choices

Standard Deviation

R-Squared

Slope

t-Statistic

Sample Siz
Mathematics
1 answer:
bija089 [108]3 years ago
3 0

Answer:

R-Squared

Step-by-step explanation:

In a simple linear regression model, R-Squared or R² represents the proportion or percentage of the variation of dependent variable, explained by an independent variable or variables.

In simple terms, it is a measure of how well the variation of one variable explains the variation of the other.

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If you could show the work or an explanation
FinnZ [79.3K]

Answer:

0.35

Step-by-step explanation:

To find the mean you add all the numbers up and you divide that answer by how many numbers you have used to add.

5 0
3 years ago
Read 2 more answers
What are the answers to this? PLEASE HELP.
shepuryov [24]

Answer:

Ray : Line NA, Line NB, Line AB

Vertex : Vertex N

Angle: Angle ANB

Parallel Lines: None

Coplanar Points: Points C, A, F, N, B

Collinear Points: Points A, N, B

Segment Addition Postulate: AN + NB = AB

Perpendicular Lines: None

6 0
3 years ago
I need help with number 18
algol13

Answer:

61.6666666667 =61.67

Step-by-step explanation:

4 0
3 years ago
Suppose that grade point averages of undergraduate students at one university have a bell-shaped distribution with a mean of 2.5
masya89 [10]

Answer:

z= \frac{3.44-2.54}{0.45}=2

P(X>3.44) = P(Z>2) = 0.025

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the grade points avergae of a population, and for this case we know the following properties

Where \mu=2.54 and \sigma=0.45

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).

So we can find the z score for the value of X=3.44 in order to see how many deviations above or belowe we are from the mean like this:

z= \frac{3.44-2.54}{0.45}=2

So the value of 3.44 is 2 deviations above from the mean, so then we know that the percentage between two deviations from the mean is 95% and on each tail we need to have (100-95)/2 = 2.5% , because the distribution is symmetrical, so based on this we can conclude that:

P(X>3.44) = P(Z>2) = 0.025

5 0
3 years ago
Please help me answer this question ​
bulgar [2K]

Answer:

the answer is c, f(x)=3^x+3

Step-by-step explanation:

i hope this helped

5 0
2 years ago
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