Please explain the example below part b, I would like to learn the steps in details, not sure why my answer is wrong, please explain.

A researcher notes that, in a certain country, a disproportionate number of software millionaires were born around the year 1955. Is this a coincidence, or does birth year matter when gauging whether a software founder will be successful? The researcher investigated this question by analyzing the data shown in the accompanying table. a Click the icon to view the table. a. Fit a simple linear regression model relating number (y) of software millionaire birthdays in a decade to total number (x) of births in this country. Give the least squares prediction equation. 9: 17.32 + (0.74)x (Round to two decimal places as needed.) b. Practically interpret the estimated y-intercept and slope of the model, part a. Give a practical interpretation of the estimated y-intercept of the line. Select the correct choice below and, if necessary, ll in the answer box within your choice. O A- For a decade with 0 software millionaire birthdays, the total number of births in this country is estimated be million. (Round to two decimal places as needed.) @ B- For a decade with 0 total births in this country, the number of software millionaire birthdays is estimated be ~ 17.32 . (Round to two decimal places as needed.) O c. The y-intercept does not have a practical interpretation. E Total Births in Number of Software Number of CEO Birthdays (in a Decade Country (millions) Millionaire Birthdays random sample of 70 companies) 1920 28.302 2 1 1930 24.778 1 4 1940 31.747 10 29 1950 40.181 14 35 1960 38.909 9 7 1970 33.208 5 0