Answer:
The linear regression equation that represents the set of data is:
The predicted number of new cases for 2013 is 1368.
Step-by-step explanation:
The general form of a linear regression is:
Here,
<em>y</em> = dependent variable
<em>x</em> = independent variable
<em>a</em> = intercept
<em>b</em> = slope
Compute the values of <em>a</em> and <em>b</em> as follows:
The linear regression equation that represents the set of data is:
Compute the predicted value of the number of new cases for 2013 (i.e. <em>x</em> = 12) as follows:
Thus, the predicted number of new cases for 2013 is 1368.
Answer:
16
Step-by-step explanation:
To solve this problem you must apply the proccedure shown below:
1. You must apply the following formula:
yo=-(Voy)t+gt²/2
2. You have that:
Voy=VoxSin(30°)
Voy=(12 m/s)(Sin(30°))
Voy=6 m/s
t=5.6 s
g=9.8 m/s²
2. When you susbtitute these values into the formula, you obtain:
yo=-(6 m/s)(5.6 s)+(9.8 m/s^2)(5.6 s)²/2
yo=120.06 m
Therefore, the answer is: 120.06 m
P(cube lands on 4 = 1/6
P(coin lands on heads) = 1/2
P( both) = 1/6 * 1/2 = 1/12 <===