Do you think the variables are appropriately used, writing homework help

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Respond to at least one of your colleagues’ posts and comment on the following:

  1. Do you think the variables are appropriately used? Why or why not?
  2. Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.
  3. If there was a significant effect, comment on the strength and its meaningfulness.
  4. As a lay reader, were you able to understand the results and their implications? Why or why not?

5 hours ago

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When children are young they are told that it is best for them to go to school and at least complete high school, if they are not planning to continue to obtain higher education. Obtaining the higher education has been thought to afford the individual with more earning power than a person that has only a high school diploma; but with the rising student loan debt(s), it makes a person question if it is truly worth it to do so. Nevertheless, a good research study would be to find out if a person’s level of education measured in the amount of years a person has spent in school would have any bearing on their family income. The null hypothesis for this study would be that there is no difference or correlation between education and income. For this study the person’s level of education would play the part of the independent variable and the income will be the dependent variable, as this is what is actually being measure in this case. Descriptive Statistics Mean FAMILY INCOME IN CONSTANT DOLLARS HIGHEST YEAR OF SCHOOL COMPLETED Std. Deviation N 48603.29 43340.886 2314 13.70 3.071 2537 Correlations FAMILY INCOME IN Pearson Correlation FAMILY HIGHEST INCOME IN YEAR OF CONSTANT SCHOOL DOLLARS COMPLETED 1 .413** CONSTANT DOLLARS Sig. (2-tailed) HIGHEST YEAR OF .000 N 2314 2314 Pearson Correlation .413** 1 SCHOOL COMPLETED Sig. (2-tailed) .000 N 2314 **. Correlation is significant at the 0.01 level (2-tailed). Variables Entered/Removeda 2537 Model 1 Variables Variables Entered Removed Method HIGHEST YEAR OF . Enter SCHOOL COMPLETEDb a. Dependent Variable: FAMILY INCOME IN CONSTANT DOLLARS b. All requested variables entered. Model Summary Model R .413a 1 R Square Adjusted R Std. Error of the Square Estimate .170 .170 39485.248 a. Predictors: (Constant), HIGHEST YEAR OF SCHOOL COMPLETED ANOVAa Model 1 Sum of Squares Regression 740210035958.069 df Mean Square 1 740210035958.069 Residual 3604604140775.311 2312 Total 4344814176733.380 2313 1559084835.975 F 474.772 Sig. .000b a. Dependent Variable: FAMILY INCOME IN CONSTANT DOLLARS b. Predictors: (Constant), HIGHEST YEAR OF SCHOOL COMPLETED Coefficientsa Standardized Unstandardized Coefficients Model 1 B (Constant) HIGHEST YEAR OF SCHOOL COMPLETED Std. Error -32720.524 3821.483 5912.694 271.358 Coefficients Beta t .413 Sig. -8.562 .000 21.789 .000 a. Dependent Variable: FAMILY INCOME IN CONSTANT DOLLARS The above tables were the results of a correlation and bivariate regression model test that show and illustrate the level of significance and correlations. To interpret the results as the as tables has shown the significance in each table was 0.00 which is less than the normal p
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Running head: RESPONSE

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RESPONSE

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Do you think the variables are appropriately used? Why or why not?

From my understanding, I agree with my colleague use of variables, Yes, the variables
have been appropriately used. This analysis has been done to predict the income measured in
constant dollars ...


Anonymous
Goes above and beyond expectations!

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