At the .05 significance level, does the data below show significant correlation?
| x | y |
|---|---|
| 5 | 23.6 |
| 6 | 17.08 |
| 7 | 20.06 |
| 8 | 29.84 |
| 9 | 30.02 |
| 10 | 21.1 |
| 11 | 20.28 |
| 12 | 25.76 |
| 13 | 27.24 |
| 14 | 31.32 |
| 15 | 30.5 |
| 16 | 21.38 |
Yes, significant correlation
No
| ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
| total sum | 126.00 | 298.18 | 143.00 | 263.82 | 74.29 |
| mean | 10.50 | 24.85 | SSxx | SSyy | SSxy |
correlation coefficient , r = SSxy/√(SSx.SSy)
= 0.38248
n= 12
alpha,α = 0.05
correlation , r= 0.3825
t-test statistic = r*√(n-2)/√(1-r²) =
1.3090
DF=n-2 = 10
p-value = 0.2198
Decison: P value > α, So, Do not reject
Ho
answer: NO
At the .05 significance level, does the data below show significant correlation?
a) At the .05 level of significance test for any significant differences of depression levels due to health condition, location (3 states), and interaction of health condition and location. Justify your answers with your hypotheses, test statistics, and critical values. b.1 Hypotheses (health condition): Test statistics: Critical value: Conclusion and Interpretation: (Explain why you reject the hypotheses if you reject the Ho.) b.2 Hypotheses (location): Test statistics: Critical value: Conclusion and Interpretation: (Explain why you reject the hypotheses if you...
for the data below test weather the linear correlation between x and y is significant. use a significance level of 0.05. X= 6, 8, 20, 28,36 Y= 2, 4, 13, 20, 30 null hypothesis alternative null= test statistics p value= reject or fail to reject null = formal conclusion=
Question 14 Let Y represent the profit (or loss) for a certain company X years after 1975. Based on the data shown below, a statistician calculates a linear model Y = -0.52X + 8.72. use the model to estimate the profit in 1981y = _______ Question 16 Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. At the 0.01 significance level, does the data below show significant (linear) correlation between...
1) Use the following data to run an independent t-test. Does the result reach significance? х 12 Y 16 16 19 14 14 15 20 11 13 12 15 2) Think of an experiment you would like to run and describe it to me here. After your description, tell me which of the three t-tests we have learned you would use to test the result of your experiment.
Critical Values for the Correlation
Coefficient
n
alpha = .05
alpha = .01
4
0.95
0.99
5
0.878
0.959
6
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.59
19
0.456
0.575
20
0.444
0.561
25
0.396
0.505
30
0.361
0.463
35
0.335
0.43
40
0.312
0.402
45
0.294
0.378
50...
show work
Show Work Question Help Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) x 10 8 13 19 T 11 T 14 16 14 | y 7.46 6.77 12.74 7.12 7.81 8 .84 6.09 5.39 12 8.15 7 6.42 5 5.73 = Click here to view a table of critical values for the correlation coefficient a. Construct a scatterplot. Choose the correct graph below. OA OB. 638 12 16 06 12...
a Using the Excel’s Regression Tool, develop the estimated regression equation to show how income (y annual income in $1000s) is related to the independent variables education (level of education attained in number of years), age (Develop the dummy variable for the gender variable first. b. Use the t test to test whether each of the coefficients obtained in part (a) are significant at .05 level of significance. What are your conclusions? c. Use the F test to test...
Use the Age data set and the GPA data set from the Class Survey spreadsheet to complete this project. (1 points) By submitting this completed project for grading, you are agreeing that you worked independently on this project and the work is yours. If you are found to have worked with anyone or copied another student's wo you will be given a zero on this project Question: Is there a relationship between a student's age(x), in years, and their Grade...
1) A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.867 b=23.731 r2=0.403225 r=-0.635 Use this to predict the number of situps a person who watches 3 hours of TV can do (to one decimal place) 2)Based on the data shown below, calculate the regression line (each value to two decimal places) y =...
part 1 is done need help with part 2 please
Regression and Correlation Part 1 -Hypothesis test for u a) Use the data provided Perform a complete hypothesis test (show all steps) of Ho: 4 = 42 Use a -.05 Word your conclusion clearly in plain English so that a 14-year-old would understand it. For this part of the assignment, we'll look to see if there's an association between the responses of your two numerical questions PART 2 - Regression...