Pengertian Regresi Linear - Matematika Wajib Kelas XI Kurikulum Merdeka

Okay, peace be upon you,

friends,

back again at basem channel, we are still

continuing our discussion on the material

or chapter of statistics, eh, class 11,

Merdeka curriculum, still on the

Scatter diagram material, yes. Where in the

previous video we have discussed in

detail What is a Scatter diagram, yes, Ee,

how to distinguish independent variables,

terik variables, How to draw a

Scatter diagram and determine the trend of

correlation data and interpretation, yes, from eh

bivariate data Well, we will

continue our discussion, eh, now we are

going into the discussion of linear regression, yes, it is

still a continuation of the previous material, well,

before that, as usual, we will discuss

the definition, yes, Ee, what we want to discuss is

linear regression, ee,

linear regression is a statistical method

used to analyze the

relationship between one dependent variable,

yes, or what we called yesterday, the dependent variable is

the same as one or more

independent variables or free ee variables,

yes, on the x-axis, well, this is in terms of

understanding related to linear ee regression,

for example, here is a

Scatter diagram that we have drawn yesterday,

yes, the question is, what is the data trend

in the diagram, well, of course, to determine the

data trend, we look at the distribution pattern of the

ee data, yes, from the coordinates of the point that

we have drawn Heeh Usually

we see the pattern we estimate here

we see Oh it turns out ee the

data distribution pattern ee is in the form of a

straight line so we say because the

data distribution pattern is in the form or

close to a straight line then what was the data trend

yesterday Well the TR data trend is linear

yes So yesterday there were three data trends

yes if it is in the form of a straight line linear

if

ee the line is not straight in the form of a curve yes it

means nonlinear and there are also those that have

no pattern at

all Well after we determine the

data trend ee of course ee the

two data Yes both data what is

the term ee the independent variable and the

dependent variable certainly have a

relationship yes Usually we analyze again

ee the correlation yes whether it is positive

or negative seen from the direction of the line

then the interpretation explains the

relationship between the two variables well but what

we want to discuss here is just

looking at the line yes analyze

ee Line from the existing data distribution pattern

well ee the question Is there

another line estimate from the

existing data distribution pattern Well so ee

from the pattern that we wrote earlier

that the distribution of points on

this search diagram ee is estimated

ee the pattern forms a straight line but is

this right ee the

line estimate Is There are other lines,

approximately from the existing pattern, yes, of course

there are, yes, it could be a pattern like this or

like this, so there are many Well,

the question is which line is the

most appropriate to represent the data on the

diagram, so the point here is

linear regression, namely we want to find the

right line pattern, yes, ee, ee, which represents

the data on the diagram, okay, well,

among all the possible lines formed, there is

only one line that is most appropriate,

usually called the base speed line,

that's what we want to look for, yes, so later, among the

possible lines formed

from the existing data pattern, there is only one,

ee, the most appropriate line to represent the

existing data pattern, what was it

called the base speed line, well, this line

is a linear model that

estimates the relationship between two

quantitative variables on the scatter diagram,

well, the regression model that

provides a straight line relationship between

these two variables is what is called

linear regression, so here is

another explanation, the emphasis is on

what is linear regression, yes, so we want to

analyze the relationship

between two variables through a

straight line, yes, that's what is known as

linear regression, here you can,

okay, okay, the question is, how do you

determine which one is the the

base speed line or the line

that best represents the data, that's what

we'll discuss, for example,

from the three predicted lines, which one is the

most appropriate,

usually we ee in determining the

most appropriate line, we look at the distance of

the line to the existing points,

the closer the line is to all the points

on the Scatter diagram, the more appropriate the

line is, this is one way, yes,

so we look at the ee distance of the line to

all the existing points, for example,

from the three lines, we take the

red one first, then we take

the blue line, the green one is quite

far away, it's possible that only these two lines

are

EE can be the base speed line, so eh,

how do we look at the distance of

the line to the existing points,

we see this red line here, there are

two points that are quite far

from the line, while the

blue line only has one point that is far from the

e line, while the distance is this The distance of this

far point, this one point E is

not too far compared to the distance of the

two points that are far from the

red line, right, then

the second, we look at the red line,

most of the points are

below the line, while the blue one is

balanced Here there is one above there is one

below and the distance ee It's quite close

to the line so it can be concluded

from here looking at ee the distance of the line with the

existing points that the possibility

of which is the base speed line is

red or blue Well of course

the blue one so ee by

estimating or looking at the distance of the line

with the existing points is

one way to determine the base

speed line yes but this is just a sample

yes if ee the data distribution of the

points is only a little sometimes it's

quite a lot now the question

now is is there the most

appropriate way to determine a base

speed line Yes with some ee data yes a

definite formula yes Well that's what

we will discuss ee in

this linear regression material yes Ee later there are two ways yes

namely using the least squares ee method

and the regression equation yes

we will discuss that in the previous video

Well here we give an introduction

first related to What is

linear regression and what we will discuss yes

what was ah looking for the base

speed line from a data distribution

or a scatter diagram Okay that's what

we can ee discuss ee for the

most appropriate way to determine the specific

we will discuss in the next video

yes God willing, we will provide an

explanation. Hopefully it will be useful

and understandable. Of course, stay

enthusiastic and always

achieve.