The yield is given by the regression equation
y = 859 + 5.76x₁ + 3.82x₂
where
x₁ = number of acres planted
x₂ = number of acres harvested
The goodness of fit is r² = 0.94.
This appears to a very good fit to the data because it is almost equal to 1.
To assess the goodness of fit in a statistical sense, it may also necessary to perform an F-test in a hypothesis test. This is not possible without having raw measured data.
For this problem, r²=0.94 may be considered to be a very good fit to the measured data.
Part a.
When x₁ = 3200 acres and x₂ = 3000 acres, obtain
y = 859 + 5.76*3200 + 3.82*3000
= 30,751 pounds
Part b.
Without performing a hypothesis test or a residual plot, we can conclude that the predicted value is in very good agreement with the actual value.
Because we do not have raw measured data, we can neither plot the residuals nor perform a hypothesis test.
In general,
When r² = 1, the agreement is exact.
When r² = 0, there is absolutely no agreement.
A value of r² > 0.9 is considered good.
Answer:
The local newspaper has 250 readers in total
Step-by-step explanation:
Given that
Letter to the editor = 10
Also it is given that 10 is the 4% of total readers of the newspaper.
Let x be the number of readers of the newspaper
It can be written as:
Converting the percentage into decimal
The newspaper has 250 readers.
Hence,
The local newspaper has 250 readers in total
23201, 23211, 23458, 23621
The correlation coefficient for the data in the table was found to be 0.93.
The correct option is A.
<h3>What is the correlation coefficient?</h3>
The correlation coefficient focuses on the linear relationship between two variables.
Given
The first column is labeled time spent at the dentist (in hours) with entries 1.4, 2.7, 0.75, 1.6.
The second column is labeled bill amount (in dollars) with entries 235, 867, 156, 215.
The numbers between -1 and 1 should be one of the values related to the bill.
Taking the independent variable or input variable as, the time a patient spends at the dentist and the dependent variable or output variable as the amount of the bill.
Hence, The correlation coefficient for the data in the table was found to be 0.93.
To know more about correlation coefficient click the link given below.
brainly.com/question/26197675
Answer:
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