Run a linear regression of time spent studying (Study; independent) predicting time spent watching TV (TV; dependent). Copy and paste your output and answer the following questions. Regression Descriptive Statistics Mean Deviation How much time do you spend watching TV per week (in hours)? How much time do you spend studying per week (in hours)? Correlations How much time do you spend watching TV per week (in hours)? How much time do you spend studying per week (in hours)? Pearson

Nonparametric Analysis of Data Set The datasets consist of the following variables: • Sub_num • Gender • Major • Coffee, and • Num_cups. The datasets are used for the nonparametric analysis to investigate whether the choices of college majors are different between males and female's individuals. The analysis is carried out with the chi-square test and the document presents the output as follows: Gender * Major Cross-tabulation Count Major Total Gender Total Chi-Square Tests Value Df Asymp. Sig. (2-sided) Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases The minimum

If the numbers or the data will not be constant, the results will not be paralleled and will surely have discrepancy on its accuracy. Meanwhile, experimenter bias is a big threat to the accuracy and/or precision of the report's result. An example of the threat is not being able to identify all the factors that might affect the result. An experiment can be said biased if he/she has already an

Crime -- Abstracts and Introduction Dependent variable: Crime Independent Variable: halting rising crime rate Control variable: government spending on law enforcement Tentative hypothesis: If government spending on law enforcement increases, then the overall rising crime rates could be halted. Rasinski (1989) studied the relationship between the effects of question wording/phrasing on public support for government spending. He points out that analysis of question phrasing studies around the General Social Survey expenses objects demonstrated constant phrasing

Intro to R1Three commands that were used in the video were:1) plot(Age, LungCap, main=�Scatterplot�). This was used to obtain scatterplot, modeling the relationship between Age and Lung Capacity, with Lung Capacity being the Y variable (dependent variable) on the axis.2) cor(Age, LungCap). This was used to calculate the Pearson�s correlation between the two variables.3) attributes(mod). This command tells which particular attributes are stored in the object (the linear model).2Simple regression

women's entrepreneurs: Evidence from an East African Economy (Ethiopia) It is an established fact that the Micro and Small Enterprise (MSE) sectors can help large parts of the populace in underdeveloped economies like Ethiopia as the means for livelihood. African women are beleaguered with societal and cultural challenges and overall entrepreneurial attributes, and that is reflected in the lack of their entrepreneurship development. This study hence takes up the issues