Assertion (A) Broadly, there only two types of correlation i.e., positive and negative.Reason (R) The correlation is said to be positive when the variables move together in the same direction, the correlation is negative when they move in opposite directions.
Question
Assertion (A) Broadly, there only two types of correlation i.e., positive and negative.Reason (R) The correlation is said to be positive when the variables move together in the same direction, the correlation is negative when they move in opposite directions.
Solution
The assertion (A) and the reason (R) are both correct.
In statistics, correlation is a measure of the relationship between two variables. It can be positive, negative, or zero.
Positive correlation means that as one variable increases, the other also increases. For example, the more hours you study, the higher your grades are likely to be. This is a positive correlation because both variables are moving in the same direction.
Negative correlation means that as one variable increases, the other decreases. For example, the more hours you spend watching TV, the lower your grades are likely to be. This is a negative correlation because the variables are moving in opposite directions.
So, the assertion is correct that there are broadly two types of correlation - positive and negative.
The reason is also correct in explaining what positive and negative correlation mean.
Therefore, both the assertion and the reason are correct, and the reason is the correct explanation of the assertion.
Similar Questions
Correlation can either be positive or negative but it is a linear relationship. The larger the absolute value the stronger the relationship and we evaluate it through comparison of the extreme values of 0 and 1Question 3Answera.Falseb.True
Understand what is meant by positive, negativeand zero correlation
Which statement about correlation is FALSE?The correlation of a data set can be positive, negative, or 0.Correlation is used to define the variables of only non-linearly related data sets.Correlation between the variables of the data set can be measured.Correlation is the degree to which the two variables of a data set resemble each other.
If the values of two variables move in the same direction, then the correlation is said to be __________a.Non-linearb.Linearc.Positived.NegativeClear my choice
We first introduce the concept of correlation in the Section 2.5 notes.Consider a linear model of the relationship between two quantitative variables in which the slope coefficient is non-zero. Which of the following statements about the slope coefficient and the correlation r between the two variables is correct?Question 1Select one:a.The slope coefficient could be negative when the correlation coefficient is positiveb.The slope coefficient and the correlation coefficient should have the same sign (both positive, or both negative)c.The slope coefficient could be positive when the correlation coefficient is negatived.The correlation coefficient can only be a positive value (regardless of whether the slope is positive or negative)Clear my choice
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.