The data from exercise 3 follow. excel file: data12-17.xls the estimated regression equation for these data is ŷ = 7.6 + .9x. co
mpute sse, sst, and ssr (to 1 decimal). sse sst ssr what percentage of the total sum of squares can be accounted for by the estimated regression equation (to 1 decimal)? % what is the value of the sample correlation coefficient (to 3 decimals)? icon
1 answer:
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Hi! Your answer is q = -9
Please see an explanation for a better and clear understanding to your problem.
Any questions about my answer and explanation can be asked through comments! :)
Step-by-step explanation:
Since we want to solve for q-term. That means we are going to isolate q-term.
We can add 4 and 9 together.
Because we want to know the value of q. That means we have to isolate q-term by subtracting both sides by 13.
We are reaching to the final step where we divide the whole equation by 3.
Finally, the solution for this equation is q = -9. But what if you are not certain or sure about the answer? Let's check it out!
To check the answer, simply substitute q = -9 in the equation.
Notice that the equation is true for q = -9. Hence, we can conclude that the solution for this equation is q = -9.
Hope this helps!
Answer:
Step-by-step explanation:
Combining like terms
=>
=>
Dividing both sides by 4
=>
=>
This means that x can be any number <u>that is greater than 0.75</u>
So, The solution set = [1,2,3,........]