PLEASE SOLVE WITH PYTHON

The dataset is as follows

Banking_Data_Set.csv:

Bank Account Balance prediction A small sample taken from a bank's customers is given by the data file Banking_Data_Set.csv. The ultimate goal is to come up with a prediction model which provides the given 5 predictors. The data file contains the following information: Questions 1. Construct plots that describe the relationship between the target (Balance) and all other features given in the problem. Based on these plots, assess the impact of these features on the variability in the target. 2. Assume that the average account balance in the banking industry is reported to be 1325 USD. One of the banks claims that the average account balance for its own clients is significantly higher than the industrial average. a. Based on a sample taken from the customers of this bank, which is the data file given above, do you think that this claim holds any ground for a 5% significance level? In other words, do you think that the current account balance of this bank is significantly higher than the reference value of USD 1325 ? State your hypothesis and the type of analysis (e.g., one-tailed or two-tailed test). Compute the p-value and make your decision. b. Report the effect size, and interpret the output. Is it any different from the conclusion obtained in (a)? 3. Do you think there exists a statistically significant difference for account balance between those customers who have a Debit card and those who don't? Clearly state your hypotheses and make your decision assuming a significance level of 5%. 4. Submit your best regression model for a prediction of the Considering the final regresiion model you report, show that this model isn't violating any of the basic assumptions used in building a linear multiple regression model