A researcher wants to know if there is a relationship between the amount of time spent reading and the speed at which a person can read. She recruits a sample of N = 200 participants, and asks them to read War and Peace (it's a really long book). She has participants record how many hours they spend reading each day, and then tests their reading speed. Using this data, she develops two variables: the number of hours spent reading each day ('reading_time'), and the number of words read per minute ('reading_speed'). She then runs a correlational analysis to see whether there is a signicant relation between the two variables. The output from her analysis is included below. pear-son\" 5 product -rnorr.ent Correlation data: readingSreading_time and readingweadingspeed t - 15.641. of - 198. p-value f 2.2e~16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence 1ntert-al: 0.6?42286 0.3996855 sample estimates: (or O. 74 3-127]. Which of the following is true about shared variance between reading time and speed? 0 The two variables share 55% of their variance. 0 The two variables share 15% of their variance. 0 The two variables share 2.2% of their variance. 0 The two variables share 74% of their variance