Answer:
the answer for this question is 1000times.
Step-by-step explanation:
the value for 9 in 157,900 is nine hundred(900).and the value of 9 in 901,532 is nine hundred thousand(900000).
900×1000= 900,000.
Answer:
it's below in the explanation
Step-by-step explanation:
3/9 = 9/3
6/8=8/6 or
6/9= 9/6
2/4= 4/2
1/7= 7/1
1/4=4/1
2/5=5/2
3/5=5/3
5/6=6/5
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Answer:
The answer is 9.42 inches
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:
45%
Step-by-step explanation:
For simplicity, let use assume there are 100 students in the school.
No. of students to complete college = (30/100) x 100 = 30 Students
President wants to increase by 50% = (50/100) x 30 = 15 Students
New set goal = 30 + 15 = 45 students.
Total number of students = 100 students
Therefore;
Rate goal % = (45/100) x 100% = 45%