Step-by-step explanation:
Solve for xsin3⁡x+cos3⁡x=1" role="presentation" style="margin: 0px; padding: 0px; border: 0px; font-style: normal; font-variant: inherit; font-weight: normal; font-stretch: inherit; line-height: normal; font-family: inherit; font-size: 15px; vertical-align: baseline; box-sizing: inherit; display: inline; text-indent: 0px; text-align: left; text-transform: none; letter-spacing: normal; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; position: relative;">xsin3x+cos3x=1xsin3x+cos3x=1
sin3⁡x+cos3⁡x=1(sin⁡x+cos⁡x)(sin2⁡x−sin⁡x⋅cos⁡x+cos2⁡x)=1(sin⁡x+cos⁡x)(1−sin⁡x⋅cos⁡x)=1" role="presentation" style="margin: 0px; padding: 0px; border: 0px; font-style: normal; font-variant: inherit; font-weight: normal; font-stretch: inherit; line-height: normal; font-family: inherit; font-size: 15px; vertical-align: baseline; box-sizing: inherit; display: inline; text-indent: 0px; text-align: left; text-transform: none; letter-spacing: normal; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; position: relative;">sin3x+cos3x=1(sinx+cosx)(sin2x−sinx⋅cosx+cos2x)=1(sinx+cosx)(1−sinx⋅cosx)=1
Answer:
<h3>
The Option B) Multiple regression is correct</h3><h3>Regression analysis involving one dependent variable and more than one independent variable is known as <u>multiple regression.</u></h3>
Step-by-step explanation:
Given that regression analysis involving one dependent variable and more than one independent variable
For : Regression analysis involving one dependent variable and more than one independent variable is known as <u>multiple regression</u>
- In statistics, a linear regression is a linear relationship between a dependent variable and one or more independent variables.
- In statistics for more than one independent variable and with one dependent variable in regression analysis , then the regression is called as multiple regression.
- Therefore Option B) Multiple regression is correct
<h3>Regression analysis involving one dependent variable and more than one independent variable is known as <u>
multiple regression</u>.</h3>
Answer:
m<-8 or (-∞,-8) hope this helps
Answer:
The correct answer to the following question will be Option d (181 degrees of freedom).
Step-by-step explanation:
The given values are:
Regression model,
n = 200
Observations,
p = 18
Now,
⇒ 
On putting the estimated values, we get
⇒ 
⇒ 
So that the correct choice will be "181 degrees of freedom".