Ho-Oh @ Life Orb
Ability: Regenerator
EVs: 248 HP / 196 Atk / 52 SpD / 12 Spe
Adamant Nature
- Brave Bird
- Sacred Fire
- Recover
- Thunder Wave

 

Unstable Cache Anomaly

 

Mewtwo @ Mewtwonite Y
Ability: Pressure
EVs: 4 Def / 252 SpA / 252 Spe
Timid Nature
- Psystrike
- Focus Blast
- Ice Beam
- Fire Blast

 

https://en.wikipedia.org/wiki/Mimas_(moon)

 

Multitainment

 

MERCEDES-BENZ CL200ML

 

https://www.ecocitycraft.com/forum/threads/control-v-game.4018/page-46#post-879427

 

https://www.ecocitycraft.com/forum/threads/signs-with-embedded-link-v2.157685/#post-879613

 

• Be done up go page 3.14, 3.16, practice test, lab

 

0.00005333333

You can search for any mathematical expression, using functions such as: sin, cos, sqrt, etc. You can find a complete list of functions here.
Rad

Deg
x!
Inv
sin
ln
π
cos
log
e
tan
√
Ans
EXP
xy
(
)
%
AC
7
8
9
÷
4
5
6
×
1
2
3
−
0
.
=
+

 

8Pm or 9Pm

 

Minecraft Name:

Suggestion:

Reason:

Any Other Information:

Link To This Plugin/Is this a custom addition?:

 

unnecessary

 

I thought I just posted on this thread...

 

unnecessary

(i think i need a new ctrl-c)

 

Problem 2
1. Use lm to fit a linear regression model with mpg as the dependent variable and wt as the independent variable.
2. How much would you expect miles per gallon to decrease with a 2000 pound increase in weight of the vehicle?
3. What is the p-value for testing the null hypothesis that there is no linear association between wt and mpg?
Problem 3
1. Which model of car is associated with the largest (positive or negative) residual?
2. What is the fitted value for this model?
3. Estimate the fuel efficiency of a car that weighs 3000 pounds.
Problem 4
1. What percentage of the variation in mpg can be explained by knowing the weight of the car?
2. Plot the fitted values on the x-axis and the residuals on the y-axis.
3. Comment on how well the assumption of linearity is satisfied.
Problem 5
1. Remove the Chrysler Imperial from the dataset and refit the linear regression model.
2. Comment on how the regression coefficients have changed.
3. What about the Chrysler Imperial might have accounted for this change in model coefficients?

(lol stats homework)

 

I just posted on one of these

 

76.0416667