A banking institution is negotiating with the city hall of Curitiba - PR to take over the operation of shared bicycles in the municipality. The cit...

A banking institution is negotiating with the city hall of Curitiba - PR to take over the operation of shared bicycles in the municipality. The city hall had a previous partner company that decided not to renew it at the end of the contract. Before closing the deal, the bank wants to create a demand forecasting model for the business, and initially calculated the correlations between the variables rented bikes, wind speed, temperature, and humidity to check if the weather variables influence demand. The database contains the following variables: rented bikes per day, wind speed in km/hour, temperature, and humidity. The correlation matrix obtained is presented below: What can be observed about the correlations obtained between the variables?


a) The correlations between the variables are strong and significant.
b) The correlations between the variables are weak and not significant.
c) The correlations between the variables are strong and not significant.
d) The correlations between the variables are moderate and significant.
e) The correlations between the variables are weak and significant.