Prediction

units
abc
abc
abc
vector
logic
function
standard

abc

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

shift

greek

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

shift

greek

↵

(

)

↑

←

↓

→

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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(

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↑

←

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→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

a■

log

sin

[

]

cos

lim

∞

[

)

≥

tan

(

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arc

{......

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units
abc
abc
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vector
logic
function
standard

−

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√

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log

sin

∧

cos

∨

≥

tan

all

≤

none

↵

(

)

↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

°C

mol

bar

rad

units

↵

(

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↑

←

↓

→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

√

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log

sin

∧

cos

∨

≥

tan

all

≤

none

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(

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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 #3.1#? And if it was #6.2\%# or #16.3\%#? 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 #3.1\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #6.2\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #16.3\%# is

9. Simple Linear Regression: Practical 9

Prediction