Standardized test scores For his Statistics class experi-ment, researcher J. Gilbert decided to study how parents’ income affects children’s performance on standardizedtests like the SAT. He proposed to collect informationfrom a random sample of test takers and examine therelationship between parental income and SAT score.a) Is this an experiment? If not, what kind of study is it?b) If there is relationship between parental incomeand SAT score, why can’t we conclude that differencesin score are caused by differences in parentalincome?
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.
ment, researcher J. Gilbert decided to study how parents’
tests like the SAT. He proposed to collect information
from a random sample of test takers and examine the
relationship between parental income and SAT score.
a) Is this an experiment? If not, what kind of study is it?
b) If there is relationship between parental income
and SAT score, why can’t we conclude that differences
in score are caused by differences in parental
income?
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 5 images
