In: Statistics and Probability
X |
20 |
31 |
50 |
57 |
61 |
62 |
72 |
79 |
81 |
88 |
y |
25 |
39 |
42 |
45 |
47 |
80 |
81 |
93 |
68 |
99 |
Note: As a way to check your data entry, Âxy = 41600 for this data.
The value of the correlation coefficient, r, is _______________________
The linear regression equation is: y = ________________________________________________ PHOTO (data lists and output)
Briefly discuss whether this line a good fit for the data and why (or why not).
Use your calculator to graph the data and vjg"tgitguukqp"nkpg0"*FqpÓv"hqtigv"vq"¦qqo"vq"{qwt"fcvc0+""
PHOTO (graph)
Dear student, please comment in the case of any doubt and I would love to clarify it
We will be applying the Linear regression model here, it can be done by using the function LINEST(y_value, x_value, TRUE, TRUE) where y_values contain values of y here and x_values have x values.
Select 5 rows and 2 columns and then write the formula in the first cell and after that, press Shift + Ctrl + Enter.
The equation comes out to be-
y = 0.21 + 1.03*x
The correlation comes out to be 0.88, it was calculated using the function CORREL(array1, array2) where array1 is x values and array2 is y values.