Introduction to Linear Regression

Plug $X = 4$ into the equation to find $Y'= 3(4) - 2 = 10$
Plug $A = 40$ into the equation to find $B'= 2.3(40) + 9.5 = 101.5$
Predicted value, $B' = 2.3(32.5) + 9.5 = 84.25$ ; Error of prediction = $B - B' = 95.25 - 84.25 = 11$
Plug $A = 40$ into the equation to find $B'= 2.3(40) + 9.5 = 101.5$
Someone who scored the mean on $X$ would be predicted to score the mean on $Y$ .
$b = r(sY/sX) = .5(1/2) = .25$
$b = 0.9143$

Callback before_footer in local_aigrade component should be migrated to new hook callback for core\hook\output\before_footer_html_generation

line 7225 of /lib/moodlelib.php: call to debugging()
line 7292 of /lib/moodlelib.php: call to {closure}()
line 71 of /lib/classes/hook/output/before_footer_html_generation.php: call to get_plugins_with_function()
line 987 of /lib/classes/output/core_renderer.php: call to core\hook\output\before_footer_html_generation->process_legacy_callbacks()
line 97 of /mod/book/tool/print/index.php: call to core\output\core_renderer->footer()