Prediction

units
abc
abc
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vector
logic
function
standard

abc

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(

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↑

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↓

→

units
abc
abc
abc
vector
logic
function
standard

shift

greek

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(

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↑

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→

units
abc
abc
abc
vector
logic
function
standard

shift

greek

↵

(

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↑

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→

units
abc
abc
abc
vector
logic
function
standard

−

×∗×

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det

(m×n)

↵

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units
abc
abc
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vector
logic
function
standard

∧

⊥

∀

⊢

∅

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⊂

∨

⊤

∃

≠

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(

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units
abc
abc
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vector
logic
function
standard

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log

sin

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lim

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units
abc
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logic
function
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sin

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cos

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all

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units
abc
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vector
logic
function
standard

°C

mol

bar

rad

units

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(

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↑

←

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→

units
abc
abc
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vector
logic
function
standard

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all

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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 #2.7#? And if it was #4.0\%# or #16.4\%#? 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 #2.7\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #4.0\%# is

The predicted quality of life in a neighbourhood with an unemployment percentage of #16.4\%# is

9. Simple Linear Regression: Practical 9

Prediction