What is the value of n (the number of observations)? What is the value of Se (standard error for the model) (2 decimals)? What is the average of the x variable (2 decimals)? What is the variance of the x variable (1 decimal)?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![SUMMARY OUTPUT
Regression Statistics
Multiple R 0.905331
R Square
0.819625
Adjusted R 0.812109
Standard Ei 6248.109
Observatio
26
ANOVA
df
MS
ignificance F
Regression
1 4.26E+09 4.26E+09 109.0559
2.09E-10
Residual
24 9.37E+08 39038865
Total
25 5.19E+09
Coefficientsandard Erre
t Stat
P-value Lower 95% Upper 95% ower 95.09/pper 95.0%
Intercept
10598.58 4111.368 2.577871 0.016509
2113.13 19084.02
2113.13 19084.02
Student GP 6971.384 667.5663 10.44298
2.09E-10 5593.595 8349.173 5593.595 8349.173](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa805fc0a-b905-4fac-92d3-7c3d5ed5957d%2Ff8cc4773-7f7d-42b0-94b2-55c6d556cb61%2Fvee8z04_processed.png&w=3840&q=75)
![Student GPA
starting salaries
4.5
48094
5.8
42400
6.1
50987
5.5
40598
4.7
53500
4.1
36184
3.9
32115
6.5
51250
5.6
45155
4.8
37108
3.5
34540
4.05
39250
starting salaries
4.5
41500
7.5
60230
90000
7.4
58750
80000
6.2
52900
70000
y = 6971.4x + 10599
R = 0.8196
7.8
58700
60000
4.5
40135
50000
8.8
70214
starting salaries
40000
8.5
73065
-Linear (starting salaries )
8.7
68952
30000
3.5
38786
20000
2.5
39102
10000
7.5
71020
8.1
75401
2.
6.
10
8.3
81203
เก่ เก่
-00 00 oc](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa805fc0a-b905-4fac-92d3-7c3d5ed5957d%2Ff8cc4773-7f7d-42b0-94b2-55c6d556cb61%2F02avaf9_processed.png&w=3840&q=75)
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