Answer: There is not a good prediction for the height of the tree when it is 100 years old because the prediction given by the trend line produced by the regression calculator probably is not valid that far in the future.
Step-by-step explanation:
Years since tree was planted (x) - - - - height (y)
2 - - - - 17
3 - - - - 25
5 - - - 42
6 - - - - 47
7 - - - 54
9 - - - 69
Using a regression calculator :
The height of tree can be modeled by the equation : ŷ = 7.36X + 3.08
With y being the predicted variable; 7.36 being the slope and 3.08 as the intercept.
X is the independent variable which is used in calculating the value of y.
Predicted height when years since tree was planted(x) = 100
ŷ = 7.36X + 3.08
ŷ = 7.36(100) + 3.08
y = 736 + 3.08
y = 739.08
Forward prediction of 100 years produced by the trendline would probably give an invalid value because the trendline only models a range of 9 years prediction. However, a linear regression equation isn't the best for making prediction that far in into the future.
Answer:
18.66521%
Step-by-step explanation:
It seems all of the numbers are duplicated, the correct number should be 7%, 14 corner kicks, and 2 opportunities.
The team has 7%(x=0.07) chance to score so that means the chance to not scoring will be: y= 1-x = 100%-7%= 93%. There are 14 opportunities and we want to know the probability to get exactly 2 scores. The calculation will be:
P(x=2)= 2C14 * x^2 * y^12
P(x=2)=91 * 0.07^2 * 0.93^12= 18.66521%
Let n = number
9n + 4 = - 77
9n = - 81
n = - 9
Your number is - 9.
(x)=3log(x−7)+1
There is no y intercept
log (x) does not intercept the y axis. This shifts the function 7 units to the right so the graph will not intercept the y axis
