Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
Answer:
-3,2 -2,4 1,-1
Step-by-step explanation:
Answer:
2.70 hours to travel 180 mi.
Step-by-step explanation:
The distance traveled (d) varies directly as the time (t) of travel, by the following formula:
In which s is the velocity.
It takes 63 min to travel 70 mi.
So i am going to find the velocity in miles per minute
how many hours would it take to travel 180 mi?
I am first going to find the time in minutes, then divide by 60 to pass to hours.
It takes 162.16 minutes = 162.16/60 = 2.70 hours to travel 180 mi.
Answer:
The overall reliability of the system is 99.9952%
Step-by-step explanation:
Probability of the system not working:
None working, the first with 2% probability of not working(as it has 98% probability of working), the second with 4% and the third with 6%. So
0.02*0.04*0.06 = 0.000048
Probability of the system working:
1 subtracted by the probability of the systme not working.
1 - 0.000048 = 0.999952
0.999952*100% = 99.9952%
The overall reliability of the system is 99.9952%
