It's easiest to start with the point-slope form of an equation,
, where m is the slope and
is the point given.
We have m = 3,
, and
.
We plug in these values to get
.
We now rearrange to get this into slope-intercept form,
, by solving for y.
Here's my step-by-step explanation:
Whenever you see the phrase "a number" in a problem like this, then they want you to use a variable. Let's use <em>n</em> for number and translate from English to Algebraic.
- The product of 2 more than a number and 10 is 36 more than 8 times the number.
- The product of 2 more than <em>n</em> and 10 is 36 more than 8 times <em>n.</em>
<em>- </em>The product of 2 + <em>n</em> and 10 is 36 + 8<em>n.</em>
<em>- </em>(2 + <em>n</em>)(10) is 36 + 8<em>n.</em>
<em>- </em>(2 + <em>n</em>)(10) = 36 + 8<em>n</em>
Let's solve.
(2 + <em>n</em>)(10) = 36 + 8<em>n</em>
20 + 10<em>n</em> = 36 + 8<em>n</em>
10<em>n</em> - 8<em>n</em> = 36 - 20
2<em>n</em> = 16
<em>n</em> = 8
Hope this helps, let me know if I made a mistake or if you have any questions!
Answer:
y = 5.064 - 0.010x
Here, in this question x = 33
y = 4.734 million views
In this question data is missing and I filled it out and calculated the questions accordingly. Please refer to the attachment for the data calculated.
Step-by-step explanation:
First of all, this question is incomplete. It lacks the data needed to calculate the required things.
So, I figured out the question and I will try my best to solve the question at hand.
I have calculated the some data sheet in excel. Please refer to the attachment for that data.
let a be the salaries
b be the viewers
= ∑
- 
= 7522.8571
= ∑
- 
= 47.1943
= ∑
- 
= -76.8286
Now the slope of the required regression equation is:
Slope = / = -76.8286/7522.8571 = -0.010
And the intercept of the required regression equation:
intercept = 
x (∑b - slope x ∑a) = 5.064
So, the regression equation will be:
y = intercept + slope x
y = 5.064 - 0.010x
Here, in this question x = 33
y = 5.064 - 0.010 (33)
y = 4.734 million views
Based on the table, it should be 2.
Y=4x+2 works for all x and y values in the table.
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