90,79,88,91,90,86,88,89]. The first column is hours studied and the second column is grades, read its data and place them into two numpy arrays. Find the regression line using the built-in linregress() method.
90,79,88,91,90,86,88,89]. The first column is hours studied and the second column is grades, read its data and place them into two numpy arrays. Find the regression line using the built-in linregress() method.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
In Python,
Given the grades.csv file, where hours = [15,7,8,7.3,19.1,17,14,9.3,4.3,8,12.4,9,6,7.5], and grades = [94,86,87,100,96,94,90,79,88,91,90,86,88,89]. The first column is hours studied and the second column is
grades, read its data and place them into two numpy arrays. Find the regression line using the
built-in linregress() method. Plot the data points along with the regression line
and print: slope, y-intercept, r (correlation coefficient), p-value, standard error. Predict a student’s
grade given 10.5 hours of study'''
xhours = [ ]
yhours = [ ]
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