Answer:
No, the points are in a linear pattern.
Step-by-step explanation:
Residual plot is a graph that shows the residuals on the vertices. The y-axis has residual values and x-axis has independent variables. The horizontal axis shows the independent variables to determine the best fit for a set. The graph given is in a linear pattern. The random pattern shows that linear model is good fit.
Given:
The table of values of a linear relationship.
x y
-1 -1
0 1
1 3
2 5
To find:
The equation for the given table of values.
Solution:
If a linear function passes through the two points, then the equation of the linear relationship is

Consider any two point from the given table. Let the two points are (-1,-1) and (0,1). So, the equation of the linear relationship is




Using distributive property, we get


Subtracting 1 from both sides, we get


Therefore, the required equation is
. Hence, the correct option is D.
The answer is:A = 231e^(.0010776*12) = 234 million in 2003
k=(In(233/231))/(8)
<span>k=1.00865/8 <===== you used the ratio of 233/321, not the natural log of the ratio. </span>
<span>233/231 = 1.00865 </span>
<span>ln(233/231) = ln(1.00865) = 0.0086207 </span>
<span>k = 0.0086207/8 = 0.0010776 </span>
Answer:
0.57142
Step-by-step explanation:
A normal random variable with mean and standard deviation both equal to 10 degrees Celsius. What is the probability that the temperature at a randomly chosen time will be less than or equal to 59 degrees Fahrenheit?
We are told that the Mean and Standard deviation = 10°C
We convert to Fahrenheit
(10°C × 9/5) + 32 = 50°F
Hence, we solve using z score formula
z = (x-μ)/σ, where
x is the raw score = 59 °F
μ is the population mean = 50 °F
σ is the population standard deviation = 50 °F
z = 59 - 50/50
z = 0.18
Probability value from Z-Table:
P(x ≤59) = 0.57142
The probability that the temperature at a randomly chosen time will be less than or equal to 59 degrees Fahrenheit
is 0.57142