Answer:
A correlation shows strength and regression tells the pattern.
Step-by-step explanation:
• The differences between the results that demonstrate a correlation between two variables and results where a regression is run using two variables are as follows
1) the correlation is the measure of degree to which any two variables may vary together.
2) if both variables tend to increase or decrease together the correlation is said to be direct or positive.
3) the correlation gives the strength of relationship between two quantities
4) The regression gives the relationship in the form of an equation.
5) The regression investigates the dependence of the dependent variable on the independent variable.
6) it shows the relationship whether it is linear or curved or parabolic etc.
• I may record the ages and the blood pressure of the patients and run a correlation analysis which may not be positive as blood pressure does not always increase with age
• I may record the ages and the blood pressure of the patients and may want to run a regression analysis which will show the relationship of the patients suffering from high blood pressure and their ages whether it follows a similar pattern or not.
I think it is A. not sure though
Answer:
4 x 8= 32
3 x 2= 6
32 + 6 + 4= 42
Therefore your answer would be 42.
Step-by-step explanation:
Hope this is helpful :)
Answer:
. An investment account earns 2.8% simple interest.
Since investment amount increases every year linearly, therefore, the modeled situation represents a LINEAR FUNCTION.
B). The price of a stock varies by 2.8% each week.
Since price of the stock may increase or decrease every week, therefore, this situation can't be modeled by any function.
Therefore, the answer is NEITHER.
C). An investment account earns 2.8% compound interest, compounded monthly.
Formula to get the value of the final amount in the account is,
Final value = Initial value ×
Here 't' = Duration of investment
It's an EXPONENTIAL FUNCTION.
Step-by-step explanation:
