Prediction

units
abc
abc
abc
vector
logic
function
standard

abc

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

{......

[

]

∞

{}

det

(m×n)

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

∧

⊥

∀

⊢

∅

∪

⊂

∨

⊤

∃

≠

⊨

∈

∩

⊆

∄

→

□

⊕

≥

∖

∉

⇒

⊬

⊃

↔

◇

⧆

≤

⊭

≡

{}

⇔

⊇

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

[

]

cos

lim

∞

[

)

≥

tan

(

]

≤

arc

{......

(

)

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

∧

cos

∨

≥

tan

all

≤

none

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

°C

mol

bar

rad

units

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

∧

cos

∨

≥

tan

all

≤

none

↵

(

)

↑

←

↓

→

Use the lm() function to fit the linear model which describes quality_of_life as a function of unemployment_p.

What quality of life would you predict if you knew the unemployment percentage in a neighbourhood was #8.7#? And if it was #10.1\%# or #24.0\%#? Give your answers in one decimal.

w i s h_t o_m o v e = 77.995 - 7.083 \cdot q u a l i t y_o f_l i f e

The predicted quality of life in a neighbourhood with an unemployment percentage of #8.7\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #10.1\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #24.0\%# is

9. Simple Linear Regression: Practical 9

Prediction