Answer:
a.the goodness of fit for the estimated multiple regression equation increases.
Step-by-step explanation:
As the value of the multiple coefficient of determination increases,
a. the goodness of fit for the estimated multiple regression equation increases.
As we know that the coefficient of determination measures the variability of response variable with the help of regressor. As we know that if the value of the coefficient of determination increases strength of fit also increases.
Answer:
option 1 i believe
Step-by-step explanation:
just worked it out
i hope this is right and helps <3
Answer:
Could you please help me with the two most recent questions of mine on my page? I will give u brainliest and 20 points! :))) X
Step-by-step explanation:
Answer:
The line equation is y = 1.5x + 3
Fill the first space with '1.5' and the second with '3'
Step-by-step explanation:
The generic model for a line equation is:
y = ax + b
To find the parameters 'a' and 'b', we can use two points of the graph in the equation.
Using the point (0, 3), we have:
3 = 0*a + b
b = 3
Using the point (-2, 0) and the value of b above, we have:
0 = -2*a + b
2a = 3
a = 1.5
So the line equation is y = 1.5x + 3
Answer:
(
5
+
√
55
,
0
)
,
(
5
−
√
55
,
0
)
Step-by-step explanation:
