Construct the least squares regression line based in the following output:

Call:

lm(formula = egg_production ~ age, data = chickendata)

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 3.24521 .981048 0.342 0.831

age -0.34231 0.03453 2.874 0.0020 **

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Signif. codes: 0 ‘***’0.001 ‘**’0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ‘ 1

Correlation Matrix:

egg_production age

egg_production 1.0000000 0.6213532

age 0.6213532 1.0000000

Please, structure your response as y = _ + _x so, for example, if the value of b0 was 1.3 and the value of b1 was 0.42, then your answer would be: y = 1.3 + 0.42x. Please round to the third decimal place.