Hmmm Interesting: 189.5+129.5+99.5+53
I got 471.5 Dollars....
Because Look If they buy 10 tickets each category it be 18.95 times 10= 189.5
then 12.95 times= 129.5 , Then 9.95 times= 99.5.... Also if they plan to get 30 combos it be also 5.50 times 30,,, You add the answers and it will give you 471.5 dollars. You can try doing it in a caculator (:
Answer:5
Step-by-step explanation:
<h3><u>(8 + 2)</u> <u>sum of values </u> = <u>10</u> = 5</h3><h3> 2 number of values 2</h3><h3 />
There is equal spacing between the mean and the extremes
8 - 5 = 3
5 - 2 = 3
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:
X=144
Step-by-step explanation:
2X+25×9+3=0
2X+288
2X= -288
X= -144
That number is closer to 700,000 than 185,505 for example, because it is a bigger number. Hope that makes sense.
