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

∧

⊥

∀

⊢

∅

∪

⊂

∨

⊤

∃

≠

⊨

∈

∩

⊆

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⇒

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(

)

↑

←

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→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

[

]

cos

lim

∞

[

)

≥

tan

(

]

≤

arc

{......

(

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↵

(

)

↑

←

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→

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

↵

(

)

↑

←

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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 #2.1#? And if it was #20.9\%# or #23.4\%#? 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 #2.1\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #20.9\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #23.4\%# is

9. Simple Linear Regression: Practical 9

Prediction