Answer:
H0 : correlation is equal to 0
H1 : correlation is not equal to 0 ;
Pvalue < α ;
There is sufficient evidence
r = 0.945 ;
Pvalue = 0.01524
Step-by-step explanation:
Given the data :
Lemon_Imports_(x) Crash_Fatality_Rate_(y)
230 15.8
264 15.6
359 15.5
482 15.3
531 14.9
Using technology :
The regression equation obtained is :
y = 16.3363-0.002455X
Where, slope = - 0.002455 ; Intercept = 16.3363
The Correlation Coefficient, r = 0.945
H0 : correlation is equal to 0
H1 : correlation is not equal to 0 ;
The test statistic, T:
T = r / √(1 - r²) / (n - 2)
n = 5 ;
T = 0.945 / √(1 - 0.945²) / (5 - 2)
T = 0.945 / 0.1888341
T = 5.00439
The Pvalue = 0.01524
Since Pvalue < α ; Reject the Null and conclude that there is sufficient evidence to support the claim.
Answer:
<h2>y = 5x + 5</h2>
Step-by-step explanation:
<u><em>The line in slope intercept form</em></u> :
y = mx + p
Where m is the slope
and p is the y value of the y intercept point
…………………………………………………………………
the y intercept point is (0 , 5) then p = 5
<u><em /></u>
<u><em>Slope calculation</em></u>:
(0 , 5) and (2 , 15) are two points of the line , then
<u><em>Conclusion</em></u>:
y = 5x + 5
It would be 74 people because if you take the ratio of 7.4 billion over 100 million people you get 74.
it's an equation so we got
Answer:
2x-7
Step-by-step explanation:
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