Answer:
your answer should be d
Step-by-step explanation:
Answer and Step-by-step explanation: Scaterplot is a type of graphic which shows the relationship between to variables. In this question, you want to determine if there is a linear relationship between overhead widths of seals and the weights. So, the hypothesis are:
H₀: no linear correlation;
H₁: there is linear correlation;
In this hypothesis test, to reject H₀, the correlation coefficient r of the data set has to be bigger than the critical value from the table.
With α = 0.05 and n = 6, the critical value is 0.811.
The linear correlation is calculated as:
r = n∑xy - ∑x.∑y / √[n∑x² - (∑x)²] [n∑y² - (∑y)²]
r = 
r = 0.9485
Since r is bigger than the critical value, H₀ is rejected, which means there is enough evidence to conclude that there is linear correlation between overhead widths and the weights.
In the attachments is the scaterplot of the measurements, also showing the relationship.
The following is the rest of the question:
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Mikey's results showed that although both mice gained weight over the
month, mouse 2 gained more weight than mouse 1.Which graph below best
shows these results?
The complete figure is attached
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Solution:
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Graph (1)⇒⇒⇒ mouse 2 has constant weight and mouse 1 gained weight
Graph (3)⇒⇒⇒ mouse 2 has did not gain weight and mouse 1 gained weight
∴ Graph (1) and (3) are incorrect because both mice gained weight .
Graph (4) is incorrect because mouse 2 gained more weight than mouse 1
So, the correct answer is graph (2)
The percentage change from 339 to 420 is 21.34387%
Basically multiply the x and y coordinates of each point by 1/2
For example, I'll do C which is ( -2 , 10 )
-2 * 1/2 = -1 and 1/2 * 10 = 5
The new coordinate is ( -1 , 5 )
Now you can try the other points
:D