Answer:
The correct statements regarding correlation coefficient are:
1. Its absolute value cannot exceed 1.
2. A positive value indicates a strong correlation between the two variables; a negative value indicates a weak correlation between the two variables.
3. If X and Y have positive correlation coefficient, when we run a regression analysis Y=a+bX+e, we will find b positive.
4. If X and Y have positive correlation coefficient, when we run a regression analysis Y=a+bX+e, we will find a positive.
Step-by-step explanation:
Correlation measures the strength of the relationship which exists between X and Y variables. Regression, on the other hand, helps to establish a cause and effect between a dependent variable and an independent variable.
Complete Question
The complete question is shown on the first uploaded image
Answer:
The null hypothesis is
The alternative hypothesis is
Step-by-step explanation:
From the question we are told that
The number observations is
The annual salary (in dollars) is y
The mean score on teaching evaluation is x
The the relationship between the y and x is
Where is the mean of the equation so
The null hypothesis is
The alternative hypothesis is
Which box plot represents the data?<br>
30, 35, 25, 5, 5, 25, 40, 45, 50, 10, 15, 40
ira [324]
Your answer would be A after you found the 5 number sequence.
HCF is 7 do you need explanation