one c. Support for raising fees by tenured status n for Status Tenured rp Nontenured rgan- o col- Support? Totals For 15 Against Y 18 (wol)e110 19 11.4 here the Totals 33 28 tal variable 14 47 scores on an res on the 11.2 | SOC| A researcher has conducted a survey on riz sExual attitudes for a sample of 317 teenagers. The Tespondents were asked whether they considered premarital sex “always wrong" or “Not always WTong." The following tables summarize the rela- tionship between responses to this item and several other variables. For each table, assess the strength and pattern of the relationship and write a paragraph logic used sociation. A ledge of the ictions of the 8des a, S Rig iation for "con- interpreting these results. ol noielo able. Yes elstoT No 888 Tota dr25b of noitsipo lo S Snoisiooeas ods lo noiloonib erit ai OFF ole. 8AT OCIATION FOR NOMINAL- AND ORDINAL-LEVEL VARIABLES 321 a. Attitudes toward premarital sex by gender Gender Premarital Sex Female Male Totals Always wrong 90 105 195 Not always wrong 65 57 122 sider Totals 155 o s162 317 b. Attitudes toward premarital sex by courtship status elst Ever Gone "Steady?" Premarital Sex No Yes Totals Always wrong 148 47 195 Not always wrong 42 80 122 d aloor Totals 127 317 190 11.3 |GER A survey of senior citizens who live in either a housing development specifically designed for re- tirees or an age-integrated neighborhood has been 282 conducted. Is type of living arrangement related to sense of social isolation? Analyze the relationship with column percentages, the maximum difference, and an appropriate measure of association. Summa- rize your findings in a paragraph. Living Arrangement Integrated Neighborhood Sense of Isolation Housing Development Totals 30 110 80 Low 120 140 20 High 150 250 100 Totals 11.4 SOC Below are the four dependent variables cross- tabulated against gender. Analyze these relationships with column percentages, the maximum difference, and an appropriate measure of association. Summa- fVour analysis in a paragraph that
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
What are the strengths and pattern relationship a write a paragraph for the results this is dealing with Bivariat Association for Nominal and Ordinal Level Variables
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