Question

use the least squares regression line of this data set to predict a value. isabella wants to ensure that the new board game shes designing is accessible to a wide age range. to test this, she had several children of various ages play the board game against each other. each child played the game the same number of times. for each child, isabella recorded his or her age, x, and the number of games that child had won, y. age games won 7 0 7 0 10 2 12 10 12 9 the least squares regression line of this data set is: y = 1.841x - 13.476 how many games does the line predict would have been won by a 9 - year - old? round your answer to the nearest integer.

Explanation:

Explicación:

Paso 1: Sustituir el valor de x

Dado que x es la edad y queremos predecir para un niño de 9 años, sustituimos x = 9 en la ecuación $y = 1.841x-13.476$.
$y=1.841\times9 - 13.476$

Paso 2: Realizar la multiplicación

Calculamos $1.841\times9 = 16.569$.
$y = 16.569-13.476$

Paso 3: Realizar la resta

$y=16.569 - 13.476=3.093$

Paso 4: Redondear al entero más cercano

Redondeando 3.093 al entero más cercano obtenemos 3.

Respuesta:

3

Answer:

Explicación:

Paso 1: Sustituir el valor de x

Dado que x es la edad y queremos predecir para un niño de 9 años, sustituimos x = 9 en la ecuación $y = 1.841x-13.476$.
$y=1.841\times9 - 13.476$

Paso 2: Realizar la multiplicación

Calculamos $1.841\times9 = 16.569$.
$y = 16.569-13.476$

Paso 3: Realizar la resta

$y=16.569 - 13.476=3.093$

Paso 4: Redondear al entero más cercano

Redondeando 3.093 al entero más cercano obtenemos 3.

Respuesta:

3