Based on the graph below on EPO health plans, what information can you gather fr
ID: 2909928 • Letter: B
Question
Based on the graph below on EPO health plans, what information can you gather from the graph?
TABLE 3: EPO Coverage
t-Test: Paired Two Sample for Means
Deductible
Co-Payment
Mean
4955.882353
32.05882353
Variance
3051838.235
53.30882353
Observations
17
17
Pearson Correlation
-0.519188167
Hypothesized Mean Difference
0
df
16
t Stat
11.59583597
P(T<=t) one-tail
1.68719E-09
t Critical one-tail
1.745883676
P(T<=t) two-tail
3.37438E-09
t Critical two-tail
2.119905299
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.519188167
R Square
0.269556353
Adjusted R Square
0.22086011
Standard Error
6.444767717
Observations
17
ANOVA
df
SS
MS
F
Significance F
Regression
1
229.9157127
229.9157127
5.535465066
0.032702416
Residual
15
623.0254638
41.53503092
Total
16
852.9411765
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
42.81268823
4.830631099
8.862752579
2.38649E-07
32.51644177
53.10893469
X Variable 1
-0.002169919
0.000922288
-2.352756908
0.032702416
-0.004135729
-0.000204109
t-Test: Paired Two Sample for Means
Deductible
Co-Payment
Mean
4955.882353
32.05882353
Variance
3051838.235
53.30882353
Observations
17
17
Pearson Correlation
-0.519188167
Hypothesized Mean Difference
0
df
16
t Stat
11.59583597
P(T<=t) one-tail
1.68719E-09
t Critical one-tail
1.745883676
P(T<=t) two-tail
3.37438E-09
t Critical two-tail
2.119905299
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.519188167
R Square
0.269556353
Adjusted R Square
0.22086011
Standard Error
6.444767717
Observations
17
ANOVA
df
SS
MS
F
Significance F
Regression
1
229.9157127
229.9157127
5.535465066
0.032702416
Residual
15
623.0254638
41.53503092
Total
16
852.9411765
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
42.81268823
4.830631099
8.862752579
2.38649E-07
32.51644177
53.10893469
X Variable 1
-0.002169919
0.000922288
-2.352756908
0.032702416
-0.004135729
-0.000204109
Explanation / Answer
According to graph we can check linearity of the data as well as check the relationship between the two variables . Relationship is negative or positive .
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.