Question

In: Statistics and Probability

Use the following data related to the same population and determine if the selected independent variable...

Use the following data related to the same population and determine if the selected independent variable is affecting the dependent variable. Variable (27,29,32,31,26,25)

Use an alpha of 5% for ANOVA and Correlation Coefficient. Use excel for the results. Explain the outcome.

Data Sample:

30, 27, 24, 21,27,32

25, 21, 22, 28, 30, 31

26,25,25, 21, 22, 20

31, 29, 24,22,20. 29

Solutions

Expert Solution

ANOVA:

Input data in the following manner. Go to Data, select Data Analysis, choose Anova: Single Factor grouping by columns.

Dependent
27 29 32 31 26 25
1 30 27 24 21 27 32
2 25 21 22 28 30 31
3 26 25 25 21 22 20
4 31 29 24 22 20 29
Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
27 4 112 28 8.67
29 4 102 25.5 11.67
32 4 95 23.75 1.58
31 4 92 23 11.33
26 4 99 24.75 20.92
25 4 112 28 30
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 89.5 5 17.90 1.28 0.32 2.77
Within Groups 252.5 18 14.03
Total 342 23

H0: µ1 = µ2 = µ3 = µ4 = µ5 = µ6,Independent variable is not affecting the dependent variable

H1: At least one µi is different,Independent variable is affecting the dependent variable

p-value = 0.32

Since p-value is more than 0.05, we do not reject the null hypothesis and conclude that independent variable is not affecting the dependent variable.


Related Solutions

In each of the following situations, identify the independent variable and dependent variable. Determine whether the...
In each of the following situations, identify the independent variable and dependent variable. Determine whether the growth is linear or exponential and explain why by the definition of linear and exponential growth (Do not present the table) a) The price of gasoline has been rising 2% per month. b) The total cost of a taxi ride increases by $ 5 per 2 miles. c) The population of a bacteria is double every 20 hours.
Determine the independent and dependent variable in each of the following scenarios: a. The relationship between...
Determine the independent and dependent variable in each of the following scenarios: a. The relationship between smoking and lip cancer b. The relationship between income and the highest level of education attained -
The following data for the dependent variable, y, and the independent variable, x, have been collected...
The following data for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling: X Y 10 120 14 130 16 170 12 150 20 200 18 180 16 190 14 150 16 160 18 200 Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? Compute the correlation coefficient.
create a data set of one dependent variable and 3 independent variables from statistics Canada related...
create a data set of one dependent variable and 3 independent variables from statistics Canada related to COVID-19 (could be anything)
create a data set of one independent variable and 3 dependent variables from statistics Canada related...
create a data set of one independent variable and 3 dependent variables from statistics Canada related to covid-19 (could be anything)
using beer lambert law . determine which of the following is either an independent variable or...
using beer lambert law . determine which of the following is either an independent variable or dependent variable. concentration of photons vs absorption absorption of varies colors
Suppose we have the following data on variable X (independent) and variable Y (dependent): X Y...
Suppose we have the following data on variable X (independent) and variable Y (dependent): X Y 2 70 0 70 4 130 a.) By hand, determine the simple regression equation relating Y and X. b.) Calculate the R-Square measure and interpret the result. c.) Calculate the adjusted R-Square. d.) Test to see whether X and Y are significantly related using a test on the population correlation. Test this at the 0.05 level. e.) Test to see whether X and Y...
Suppose we have the following data on variable X (independent) and variable Y (dependent): X         Y...
Suppose we have the following data on variable X (independent) and variable Y (dependent): X         Y 2          70 0          70 4          130 Test to see whether X and Y are significantly related using a t-test on the slope of X. Test this at the 0.05 level. Test to see whether X and Y are significantly related using an F-test on the slope of X. Test this at the 0.05 level.
Suppose we have the following data on variable X (independent) and variable Y (dependent): X Y...
Suppose we have the following data on variable X (independent) and variable Y (dependent): X Y 2 70 0 70 4 130 a.) By hand, determine the simple regression equation relating Y and X. b.) Calculate the R-Square measure and interpret the result. c.) Calculate the adjusted R-Square. d.) Test to see whether X and Y are significantly related using a test on the population correlation. Test this at the 0.05 level. e.) Test to see whether X and Y...
Suppose we have the following data on variable X (independent) and variable Y (dependent): X         Y...
Suppose we have the following data on variable X (independent) and variable Y (dependent): X         Y 2          70 0          70 4          130 By hand, determine the simple regression equation relating Y and X. Calculate the R-Square measure and interpret the result. Calculate the adjusted R-Square. Test to see whether X and Y are significantly related using a test on the population correlation. Test this at the 0.05 level. Test to see whether X and Y are significantly related using a...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT